data infrastructure engineer

ACV Auctions

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere.
<br><br>
<b>Who we are:</b><br>
ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services.
<br><br>
ACV Auctions in Chennai, India are looking for talented individuals to join our team. As we expand our platform, we're offering a wide range of exciting opportunities across various roles in corporate, operations, and product and technology. Our global product and technology organization spans product management, engineering, data science, machine learning, DevOps and program leadership. What unites us is a deep sense of customer centricity, calm persistence in solving hard problems, and a shared passion for innovation. If you're looking to grow, lead, and contribute to something larger than yourself, we'd love to have you on this journey. Let's build something extraordinary together. Join us in shaping the future of automotive!
<br><br>
At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs.
<br><br>
<b>Who we are looking for:</b><br>
We are seeking a skilled and motivated engineer to join our Data Infrastructure team. The Data Infrastructure engineering team is responsible for the tools and backend infrastructure that supports our data platform to optimize in performance scalability and reliability.
<br><br>
This role requires strong focus and experience in multi-cloud based technologies, message bus systems, automated deployments using containerized applications, design, development, database management and performance, SOX compliance requirements, and implementation of infrastructure using automation through terraform and continuous delivery and batch-oriented workflows. As a Data Infrastructure Engineer at ACV Auctions, you will work alongside and mentor software and production engineers in the development of solutions to ACV’s most complex data and software problems.
<br><br>
You will be an engineer that is able to operate in a high performing team, that can balance high quality deliverables with customer focus, have excellent communication skills, desire and ability to mentor and guide engineers, and have a record of delivering results in a fast paced environment. It is expected that you are a technical liaison that you can balance high quality delivery with customer focus, that you have excellent communication skills, and that you have a record of delivering results in a fast-paced environment.
<br><br>
<b>What you will be doing:</b><br>
<ul>
<li>Collaborate with cross-functional teams, including Data Scientists, Software Engineers, Data Engineers, and Data Analysts, to understand data requirements and translate them into technical specifications.</li>
<li>Influence company wide engineering standards for databases, tooling, languages, and build systems.</li>
<li>Design, implement, and maintain scalable and high-performance data infrastructure solutions, with a primary focus on data.</li>
<li>Design, implement, and maintain tools and best practices for (but not limited to) access control, data versioning, database management, and migration strategies.</li>
<li>Contribute, influence, and set standards for all technical aspects of a product or service including, but not limited to, coding, testing, debugging, performance, languages, database selection, management and deployment.</li>
<li>Identify and troubleshoot database/system issues and bottlenecks, working closely with the engineering team to implement effective solutions.</li>
<li>Write clean, maintainable, well-commented code and automation to support our data infrastructure layer.</li>
<li>Perform code reviews, develop high-quality documentation, and build robust test suites for your products.</li>
<li>Provide technical support for databases, including troubleshooting, performance tuning, and resolving complex issues.</li>
<li>Collaborate with software and DevOps engineers to design scalable services, plan feature roll-out, and ensure high reliability and performance of our products.</li>
<li>Collaborate with development teams and data science teams to design and optimize database schemas, queries, and stored procedures for maximum efficiency.</li>
<li>Participate in the SOX audits, including creation of standards and reproducible audit evidence through automation</li>
<li>Create and maintain documentation for database and system configurations, procedures, and troubleshooting guides.</li>
<li>Maintain and extend (as required) existing database operations solutions for backups, index defragmentation, data retention, etc.</li>
<li>Respond-to and troubleshoot highly complex problems quickly, efficiently, and effectively.</li>
<li>Accountable for the overall performance of products and/or services within a defined area of focus.</li>
<li>Be part of the on-call rotation.</li>
<li>Handle multiple competing priorities in an agile, fast-paced environment.</li>
<li>Perform additional duties as assigned</li>
</ul>
<b>What you need:</b><br>
<ul>
<li>Bachelor’s degree in computer science, Information Technology, or a related field (or</li>
<li>equivalent work experience)</li>
<li>Ability to read, write, speak, and understand English</li>
<li>Strong communication and collaboration skills, with the ability to work effectively in a fast paced global team environment</li>
<li>1+ years experience architecting, developing, and delivering software products with emphasis on data infrastructure layer</li>
<li>1+ years work with continuous integration and build tools.</li>
<li>1+ years experience programing in Python</li>
<li>1+ years experience with Cloud platforms preferably in GCP/AWS</li>
<li>Knowledge in day-day tools and how they work including deployments, k8s, monitoring systems, and testing tools.</li>
<li>Knowledge in version control systems including trunk-based development, multiple release planning, cherry picking, and rebase.</li>
<li>Hands-on skills and the ability to drill deep into the complex system design and implementation.</li>
<li>Experience with:</li>
<li>DevOps practices and tools for database automation and infrastructure provisioning</li>
<li>Programming in Python, SQL</li>
<li>Github, Jenkins</li>
<li>Infrastructure as code tooling, such as terraform, preferred</li>
<li>Big data technologies and distributed databases</li>
</ul>
<b>Nice to Have Qualifications:</b><br>
<ul>
<li>Experience with</li>
<li>NoSQL data stores</li>
<li>Airflow, Docker, Containers, Kubernetes, DataDog, Fivetran</li>
<li>Database monitoring and diagnostic tools, preferably Data Dog.</li>
<li>Database management/administration with PostgreSQL, MySQL, Dynamo, Mongo</li>
<li>GCP/BigQuery, Confluent Kafka</li>
<li>Using and integrating with cloud services, specifically: AWS RDS, Aurora, S3, GCP</li>
<li>Service Oriented Architecture/Microservices and Event Sourcing in a platform like Kafka (preferred)</li>
<li>Familiarity with DevOps practices and tools for automation and infrastructure provisioning.</li>
<li>Hands-on experience with SOX compliance requirements</li>
<li>Knowledge of data warehousing concepts and technologies, including dimensional modeling and ETL frameworks</li>
<li>Knowledge of database design principles, data modeling, architecture, infrastructure, security principles, best practices, performance tuning and optimization techniques</li>
</ul>
#LI-AM1
<br><br>
Our Values
<br>Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling
<br><br>
At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know.
<br><br>
Data Processing Consent
<br><br>
When you apply to a job on this site, the personal data contained in your application will be collected by ACV Auctions Inc. and/or one of its subsidiaries ("ACV Auctions"). By clicking "apply", you hereby provide your consent to ACV Auctions and/or its authorized agents to collect and process your personal data for purpose of your recruitment at ACV Auctions and processing your job application. ACV Auctions may use services provided by a third party service provider to help manage its recruitment and hiring process. For more information about how your personal data will be processed by ACV Auctions and any rights you may have, please review ACV Auctions' candidate privacy notice here. If you have any questions about our privacy practices, please contact datasubjectrights@acvauctions.com.

Data Infrastructure Engineer III

Capgemini

<div><div><div><p>RIYADH</p><div>
Data Engineer</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p><div><div><div><div>
Your Role</div></div><div><p>
We are looking for a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will ensure the efficient flow of data across systems to support analytics and business intelligence in manufacturing operations.</p><p><b>
You will be accountable for:</b></p><ul><li>
Designing, developing, and maintaining robust ETL/ELT pipelines for data ingestion and transformation.</li><li>
Optimizing data storage and retrieval for performance and scalability.</li><li>
Ensuring data quality, integrity, and security across systems.</li><li>
Collaborating with data scientists, analysts, and IT teams to support data needs.</li><li>
Implementing and managing data architecture and infrastructure on cloud or on-prem platforms.</li><li>
Monitoring and troubleshooting data pipeline issues and system performance.</li><li>
Maintaining documentation of data flows, schemas, and system configurations.</li><li>
Supporting real-time data processing and integration with IoT and manufacturing systems.</li></ul></div></div><div><div><div>
Your Profile</div></div><div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or a related field.</li><li>
2&ndash;5 years of experience in data engineering or software development, preferably in manufacturing.</li><li>
Proficiency in SQL, Python, and data pipeline tools (e.g., Apache Airflow, Talend).</li><li>
Experience with cloud data platforms (e.g., Azure Data Factory, AWS Glue, GCP Dataflow).</li><li>
Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).</li><li>
Familiarity with big data technologies (e.g., Hadoop, Spark) and real-time streaming (e.g., Kafka).</li><li>
Strong understanding of data modeling, database design, and system integration.</li><li>
Excellent collaboration and communication skills.</li></ul></div></div><div><div><div>
What You&rsquo;ll Love About Working Here
</div></div><div></div><div><div><ul><li><p>Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
</p></li></ul></div><div><ul><li><p>Career Growth Opportunities&mdash;Access diverse roles and career development programs.
</p></li></ul></div><div><ul><li><p>Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
</p></li></ul></div></div></div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
284564-en_US</div></div><div><div>
Posted on</div><div>
17 Jul 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Fixed Term Contract</div></div><div><div>
Location</div><div>
RIYADH</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Data Engineer

Valtech Group

<div><p>Why Valtech? We&rsquo;re advisors, visionaries, creative and techies. We embrace all things digital. We talk to each other. We have fun. We love our clients. We&rsquo;re looking ahead &bull; We are global</p></div>
<br><p></p><div><p>We are seeking a skilled Data Engineer to join our growing data team in India. You will be responsible for designing, building, and maintaining scalable data infrastructure and pipelines that enable data-driven decision making across our organization and client projects. This role offers the opportunity to work with cutting-edge technologies and contribute to innovative data solutions for global clients.</p><p>
What you do</p><p><b>
Technical Skills</b></p><ul>
<li><b>Minimum 3+ years</b> of experience in data engineering or related field</li>
<li>Strong programming skills in <b>Python</b> and/or <b>Scala/Java</b></li>
<li>Experience with <b>SQL</b> and database technologies (PostgreSQL, MySQL, MongoDB)</li>
<li>Hands-on experience with data processing frameworks:
</li><ul><li>Apache Spark, Hadoop ecosystem</li>
<li>Apache Kafka for streaming data</li>
<li>Apache Airflow or similar workflow orchestration tools</li>
</ul><li>Knowledge of data warehouse concepts and technologies</li>
<li>Experience with containerization (Docker, Kubernetes)</li>
<li>Understanding of data modeling principles and best practices</li>
</ul><p><b>
Cloud &amp; Platform Experience</b></p><ul>
<li>Experience with at least one major cloud platform (AWS, Azure, or GCP)</li>
<li>Familiarity with cloud-native data services:</li>
<li>Data lakes, data warehouses, and analytics services</li>
<li>Server less computing and event-driven architectures</li>
<li>Identity and access management for data systems</li>
<li>Knowledge of Infrastructure as Code (Terraform, CloudFormation, ARM templates)</li>
</ul><p><b>
Data &amp; Analytics</b></p><ul>
<li>Understanding of data governance and security principles</li>
<li>Experience with data quality frameworks and monitoring</li>
<li>Knowledge of dimensional modeling and data warehouse design</li>
<li>Familiarity with business intelligence and analytics tools</li>
<li>Understanding of data privacy regulations (GDPR, CCPA)</li>
</ul><p><b>
Preferred Qualifications</b></p><p><b>
Advanced Technical Skills</b></p><ul>
<li>Experience with modern data stack tools (dbt, Fivetran, Snowflake, Databricks)</li>
<li>Knowledge of machine learning pipelines and MLOps practices</li>
<li>Experience with event-driven architectures and microservices</li>
<li>Familiarity with data mesh and data fabric concepts</li>
<li>Experience with graph databases (Neo4j, Amazon Neptune)</li>
</ul><p><b>
Industry Experience</b></p><ul>
<li>Experience in digital agency or consulting environment</li>
<li>Background in financial services, e-commerce, retail, or customer experience platforms</li>
<li>Knowledge of marketing technology and customer data platforms</li>
<li>Experience with real-time analytics and personalization systems</li>
</ul><p><b>
Soft Skills</b></p><ul>
<li>Strong problem-solving and analytical thinking abilities</li>
<li>Excellent communication skills for client-facing interactions</li>
<li>Ability to work independently and manage multiple projects</li>
<li>Adaptability to rapidly changing technology landscape</li>
<li>Experience mentoring junior team members</li>
</ul><p>What we ask</p><p><b>
Data Infrastructure &amp; Architecture</b></p><ul>
<li>Design and implement robust, scalable data architectures and pipelines</li>
<li>Build and maintain ETL/ELT processes for batch and real-time data processing</li>
<li>Develop data models and schemas optimized for analytics and reporting</li>
<li>Ensure data quality, consistency, and reliability across all data systems</li>
</ul><p><b>
Platform-Agnostic Development</b></p><ul>
<li>Work with multiple cloud platforms (AWS, Azure, GCP) based on client requirements</li>
<li>Implement data solutions using various technologies and frameworks</li>
<li>Adapt quickly to new tools and platforms as project needs evolve</li>
<li>Maintain expertise across different cloud ecosystems and services</li>
</ul><p><b>
Data Pipeline Development</b></p><ul>
<li>Create automated data ingestion pipelines from various sources (APIs, databases, files, streaming)</li>
<li>Implement data transformation logic using modern data processing frameworks</li>
<li>Build monitoring and alerting systems for data pipeline health</li>
<li>Optimize pipeline performance and cost-efficiency</li>
</ul><p><b>
Collaboration &amp; Integration</b></p><ul>
<li>Work closely with data scientists, analysts, and business stakeholders</li>
<li>Collaborate with DevOps teams to implement CI/CD for data pipelines</li>
<li>Partner with client teams to understand data requirements and deliver solutions</li>
<li>Participate in architecture reviews and technical decision-making</li>
</ul><p>What we offer</p><p>
You&rsquo;ll join an international network of data professionals within our organisation. We support continuous development through our dedicated Academy. If you're looking to push the boundaries of innovation and creativity in a culture that values freedom and responsibility, we encourage you to apply.</p><p><i>
At Valtech, we&rsquo;re here to engineer experiences that work and reach every single person. To do this, we are proactive about creating workplaces that work for every person at Valtech. Our goal is to create an equitable workplace which gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). You can find out more about what we&rsquo;re doing to create a Valtech for everyone </i><i>here</i><i>.</i></p><div><i>
Please do not worry if you do not meet all of the criteria or if you have some gaps in your CV. We&rsquo;d love to hear from you and see if you&rsquo;re our next member of the Valtech team!</i></div></div>

Careem

<div><div><p>Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.<br>
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.</p>
<p><b><i>
We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.</i></b></p></div><div><div><b>
About the role:</b><br>
We are seeking a highly skilled and motivated Data Warehouse Engineer to join our team. As a Data Warehouse Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the availability, scalability, and reliability of our data systems. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.</div>
<div></div>
<div><b>What you'll do:</b></div>
<ul><li>Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.</li>
<li>Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.</li>
<li>Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.</li>
<li>Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.</li>
<li>Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.</li>
<li>Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.</li>
<li>Stay up-to-date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.</li>
<li>Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.</li>
<li>Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.</li>
</ul><div><b>What you'll need</b></div>
<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field.</li>
<li>At least 6 years of experience as a Data Warehouse] Engineer or in a similar role, working with large-scale data processing and ETL pipelines.</li>
<li>Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.</li>
<li>Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).</li>
<li>Proficiency in working with big data technologies such as Hadoop, Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).</li>
<li>Familiarity with data integration and workflow management tools such as Apache Airflow</li>
<li>Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.</li>
<li>Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.</li>
<li>Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</li>
<li>Attention to detail and a strong commitment to delivering high-quality work within established timelines.</li>
<li>Join our dynamic team and contribute to building scalable data infrastructure that powers data analytics and decision-making processes. Apply your expertise in data engineering to help us unlock the full potential of our data assets and drive meaningful insights for our organization.</li></ul></div></div><p></p>

Senior Data Warehouse Engineer I

Fospha

<div><div>Are you excited by the idea of helping scale a fast-growing tech business across London, Mumbai and Austin?</div>
<div>Do you want to build a career in data engineering while working with cutting-edge GenAI tools?</div>
<div>Are you passionate about building scalable data infrastructure that powers analytics, machine learning, and customer insights?</div>
<div></div>
<div><b>If so, we'd love to hear from you!</b></div>
<p><b>
About Us:</b></p>
<div>
<div>Fospha</div>
is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves faster and grows smarter.</div>
<div>Trusted by over <b>200 leading brands</b> across three continents, including <b>Huel, Oh Polly, and Represent</b>, Fospha <b>manages $2.5 billion</b> in annual ad spend.</div>
<div></div>
<div>We're scaling fast across <b>London, Mumbai, and Austin</b> &ndash; and we're now looking for a <b>Core Data Engineer</b> to join our <b>Core Data Team</b> to support the <b>growth of the business</b> through robust, scalable data infrastructure.</div>
<div></div>
<div>Ready to make your mark? Let's go!</div>
<p><b>
The Role:</b></p>
<div>
As a Core Data Engineer at Fospha, you'll be at the heart of our data ecosystem. You'll design, build, and optimise pipelines that move, transform, and scale data across multiple systems. Working at the intersection of analytics, engineering, and machine learning, you'll ensure our data infrastructure grows as fast as our ambitions.</div>
<div></div>
<div>You'll define data quality standards, shape the data roadmap, and support high-quality data access for our Data Science and Analytics teams. This is a high-impact role where your work will directly empower teams to move faster and deliver smarter insights.</div>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li>Design, build, and optimise data pipelines using <b>dbt, Python, and SQL</b></li>
<li>Implement and maintain scalable <b>ELT/ETL frameworks</b> that power analytics and ML systems</li>
<li>Collaborate with Data Science and Platform teams to ensure <b>robust and reliable model deployment pipelines</b></li>
<li>Own the <b>reliability, scalability, and observability</b> of data workflows in production</li>
<li>Contribute to <b>data architecture decisions and documentation</b>, ensuring data integrity and consistency across sources</li>
<li>Design and maintain <b>data models used by ML Engineers, Data Analysts, and Data Scientists</b></li>
<li>Drive <b>automation, versioning, and quality validation</b> in data delivery</li>
<li>Conduct <b>exploratory data analysis</b> to uncover trends and inform strategic decision-making</li>
<li>Identify opportunities for <b>process improvement</b> and promote a culture of continuous data excellence</li>
<li>In addition to your core responsibilities, we expect you to be excited by the opportunity GenAI brings and find new ways of working utilising our GenAI hub!</li>
</ul>
<p><b>What are we looking for?</b></p>
<div>
We hire for potential &ndash; you should apply if you:</div>
<ul><li>Have proven experience building data pipelines in <b>dbt, Python, and SQL</b></li>
<li>Demonstrate a strong grasp of <b>data modelling, warehousing, and orchestration tools</b></li>
<li>Understand <b>data architecture and ELT flows</b></li>
<li>Are familiar with <b>ML Ops principles</b> and how they integrate with engineering systems</li>
<li>Have experience with <b>cloud-native data stacks (preferably AWS)</b></li>
<li>Take a pragmatic approach to balancing perfection with delivery</li>
<li>Understand <b>agile methodologies and best practices</b></li>
<li>Know how to apply <b>data quality frameworks and version control</b> in data delivery</li>
</ul>
<p><b>Our Values and Principles:</b></p>
<div>
You will be able to demonstrate examples of our core principles:</div>
<ul><li><b>Seek inclusion &amp; diversity:</b> We create an environment where everyone feels welcome, and people are encouraged to speak and be heard</li>
<li><b>Work Hard, Work Well, Work Together:</b> We take responsibility for making things happen, independently and together; we help colleagues in need and close loops, making sure our work is complete and has lasting impact</li>
<li><b>Grow:</b> We are proactive, curious and unafraid of failure</li>
<li><b>Customer at the heart:</b> We care about the customer, feel their pain and love building product that solves their biggest problems</li>
<li><b>Candour with caring:</b> We deliver candid feedback with kindness and receive it with gratitude</li>
</ul>
<p><b>What we can offer you:</b></p>
<ul>
<li>Competitive salary</li>
<li>Be exposed to the right mix of challenges and learning and development opportunities</li>
<li>25 days of paid holiday + your birthday off!</li>
<li>Quarterly team socials</li></ul></div>

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>Slack is looking for a Staff / Senior Software Engineer to join the <b>Data Infrastructure </b>team within the broader Data Engineering organization. The mission of our team is to build <b>secure, reliable, and cost-efficient infrastructure </b>that powers Slack&rsquo;s data ecosystem. We design and operate the core data platforms that enable data engineers, analysts, and machine learning practitioners to deliver trusted insights and data products across Slack.
<br>
Our systems power critical workflows &mdash; from batch and streaming ingestion to real-time analytics and orchestration. We&rsquo;re looking for strong technical leaders who can combine <b>hands-on expertise </b>with <b>strategic impact </b>, helping to scale and evolve the backbone of Slack&rsquo;s data infrastructure as we grow.
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You&rsquo;ll play a key role in the design, development, and operation of services that underpin data ingestion, transformation, storage, and orchestration at massive scale. As a Staff / Senior Engineer, you&rsquo;ll be a <b>Directly Responsible Individual (DRI) </b>for one or more core data services, accountable for uptime, reliability, and performance, and a <b>subject matter expert (SME) </b>across multiple systems over time.
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Here are a few examples of what we work on:<br>
</p><p></p><ul><li>Enabling more realtime OLAP capabilities for internal and external customers
</li><li>Scaling our compute and orchestration layer.
</li><li>Creating and scaling agents to enable engineers and users on their workflow and data needs
</li></ul><h3 class="jobSectionHeader"><b>What you will be doing
</b></h3><ul><li>Design, build, and operate reliable and scalable data infrastructure powering Slack&rsquo;s analytics, ML, and data-driven decision-making.
</li><li>Serve as DRI for 1&ndash;2 core data services (e.g., EMR, StarRocks, Pinot, Hive Metastore, Airflow, Temporal, Trino), ensuring uptime, reliability, and performance.
</li><li>Drive improvements in security, cost efficiency, and developer experience across our data infrastructure.
</li><li>Build automation and self-service tools that empower data teams to easily adopt and manage data workflows.
</li><li>Collaborate closely with data engineering, platform, and security teams to design scalable, well-governed solutions.
</li><li>Contribute to observability, monitoring, and alerting via Grafana and related tooling.
</li><li>Partner with other senior engineers to define best practices, technical standards, and support models for Slack&rsquo;s data ecosystem.
</li><li>Mentor and coach other engineers, modeling ownership, collaboration, and operational excellence.
</li></ul><h3 class="jobSectionHeader"><b>What you should have
</b></h3><ul><li>7+ years of software or infrastructure engineering experience, including time spent supporting <b>data-intensive systems </b>or <b>data platforms </b>.
</li><li>Proven experience in <b>building, deploying, and operating </b>distributed infrastructure at scale.
</li><li>Strong technical background with <b>big data and infrastructure technologies </b>&mdash; such as EMR, Airflow, Pinot, StarRocks, Hive Metastore, Kubernetes, or equivalent systems.
</li><li>Proficiency in <b>Python, Golang, Bash, and SQL </b>.
</li><li>Familiarity with <b>CI/CD (GitHub Actions) </b>, <b>Vault, Terraform, Chef, and Grafana </b>.
</li><li>Deep understanding of infrastructure reliability, observability, and cost efficiency principles.
</li><li>Hands-on experience supporting <b>data pipelines </b>or <b>data engineering workflows </b>is a strong plus.
</li><li>Excellent communication skills and the ability to collaborate across cross-functional teams.
</li><li>A strong sense of <b>ownership </b>and a drive to deliver high-impact, autonomous results.
</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent practical experience.
</li></ul><p></p><h3 class="jobSectionHeader"><b>What we value
</b></h3><p>Slack has a positive, diverse, and supportive culture&mdash;we look for people who are <b>curious, inventive, and collaborative </b>. We seek engineers who care deeply about craftsmanship, reliability, and empowering others. In our work together, we strive to be smart, humble, hardworking, and&mdash;above all&mdash;collaborative.
</p><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $216,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Staff Software Engineer, Data Infrastructure - Slack

Secure Tech Cards Pvt. Ltd

<p>Job Title</p><p><b>ClickHouse Cluster Engineer, Distributed Analytics Platforms</b></p><p>Location</p><p>Islamabad, Hybrid or Remote<br/>Full time</p><p>About the Role</p><p>We are looking for a hands-on ClickHouse Cluster Engineer with <b>3 or more years of relevant experience</b> who owns the reliability, performance, and scalability of distributed analytics infrastructure. This role goes beyond routine maintenance. You will design cluster architecture, solve performance challenges at scale, and build automation that keeps systems resilient as data volumes and usage grow.</p><p>If you thrive on deep technical ownership, production problem solving, and building systems that remain stable under pressure, this role is for you.</p><p>Core ResponsibilitiesCluster Management and Architecture</p><ul><li>Design, install, configure, and operate distributed ClickHouse clusters in production</li><li>Implement replication, sharding, and high availability using ZooKeeper</li><li>Continuously evolve cluster topology to support product growth and performance demands</li></ul><p>Performance Optimization</p><ul><li>Monitor and troubleshoot performance bottlenecks across large analytical workloads</li><li>Optimize queries, schemas, and storage engines, including advanced MergeTree configurations</li><li>Tune ClickHouse parameters to achieve predictable, high throughput performance</li></ul><p>Availability and Disaster Recovery</p><ul><li>Design and maintain backup, restore, and disaster recovery strategies</li><li>Ensure data integrity, fast recovery, and minimal downtime during failure scenarios</li></ul><p>Monitoring and Alerting</p><ul><li>Build and maintain proactive monitoring and alerting using Prometheus and Grafana</li><li>Define meaningful metrics and alerts that enable early detection and prevention of incidents</li></ul><p>Automation and Infrastructure as Code</p><ul><li>Automate provisioning, maintenance, and operational workflows</li><li>Use scripting languages such as Shell or Python and tools like Terraform and Ansible to eliminate manual processes</li></ul><p>Security and Access Control</p><ul><li>Manage user access, roles, and permissions</li><li>Ensure compliance with data security, privacy, and audit requirements</li></ul><p>Collaboration and Support</p><ul><li>Partner with engineering, data, and operations teams</li><li>Provide guidance on ClickHouse best practices and support application integrations and deployments</li></ul><p>Required Skills and Experience</p><ul><li><b>Minimum 3 years of hands-on experience</b> managing ClickHouse or comparable distributed analytical databases in production</li><li>Strong understanding of distributed systems, replication, sharding, and high availability concepts</li><li>Proven experience in performance tuning for large-scale analytical workloads</li><li>Practical knowledge of Linux, scripting, and infrastructure automation</li><li>Experience with monitoring and observability tools such as Prometheus and Grafana</li></ul><p>Nice to Have</p><ul><li>Experience operating ClickHouse at high data volumes or in multi-cluster environments</li><li>Exposure to cloud or hybrid infrastructure</li><li>Strong ownership mindset with the ability to work independently on complex systems</li></ul><p>Why Join Us</p><ul><li>Work on real, large-scale data systems with direct business impact</li><li>High autonomy and meaningful technical ownership</li><li>Opportunity to influence architecture, standards, and best practices from the ground up</li></ul><p>Job Type: Full-time</p><p>Pay: From Rs150,000.00 per month</p><p>Work Location: In person</p>

ClickHouse Cluster Engineer, Distributed Analytics Platforms

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