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senior software engineer

senior data engineer

Commonwealth Bank of Australia

<div><p><b>Organization: </b>At CommBank, we never lose sight of the role we play in other people&rsquo;s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things
</p><p></p><p><b>Job Title: </b>Senior Data Engineer
</p><p><b>Location: </b>Bangalore-Manyata Tech Park (Hybrid)
 </p><p><b>Business &amp; Team </b>: Retail Technology<br>
<br>
</p><p><b>Impact &amp; contribution
</b></p><ul><li>Contribute to internal online discussion around engineering, delivery and technology e.g. blog posts, knowledge base articles.
</li><li>Deliver high quality, sustainable solutions to meet business requirements, leveraging approved delivery frameworks and by applying industry best practice.
</li><li>Develop reusable frameworks and tooling to accelerate data engineering maturity.
</li><li>Develop strategic data programs and data products.
</li><li>Identify and drive opportunities for continuous improvement within the team and in delivery of products.
</li><li>Lead the design and development of highly reliable and scalable data pipelines and data platforms with comprehensive test coverage.
</li><li>Participate in domain planning, providing guidance to ensure that technical deliveries are aligned to engineering direction and strategy.
</li><li>Partner with teams to engineer improvements to the scaling and reliability of our services.
</li><li>Provide data engineering practice consultancy across platforms, products and delivery teams.
</li><li>Provide thought leadership, mentorship and up-skilling to other engineering teams.
</li><li>Take responsibility for nominated technical assets related to areas of expertise including roadmaps and technical direction.
</li><li>Actively participate in On-Call rosters from time to time to own resolution of any critical issues, ensuring the seamless operation of our systems, products and platforms.
</li><li>Architect and implement scalable, secure, and high-performance data pipelines using technologies such as Spark, Python, SQL, and AWS
</li><li>Lead the development and optimisation of ETL/ELT processes for structured and unstructured data sources
</li><li>Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into technical solutions
</li><li>Ensure data quality, lineage, and governance across all stages of the data lifecycle.
</li><li>Drive adoption of engineering best practices including CI/CD, DevSecOps, and observability tooling
</li><li>Provide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and improvement
</li><li>Participate in hiring, onboarding, and bar-raiser interviews for senior and staff-level engineering roles
</li><li>Contribute to the development of semantic data models and data product lifecycle frameworks
</li></ul><p></p><p><b>Roles &amp; Responsibilities:
</b></p><ul><li><b>Participate in on-call rotations to provide 24/7 support for critical systems
</b></li><li>Maintain and enhance the productivity of data delivery and its processes.
</li><li>Build strategy to migrate ETL Load from legacy systems to cloud.
</li><li>Manage the hyper care period
</li><li>Support platform engineer to improve platform resilience, reduce incident rates, and optimize solution performance as well as reduce operations cost
</li></ul><p><b>Essential Skills:
</b></p><ul><li>10+ years of experience in data engineering, with at least 2 years in a staff or lead role
</li><li>Proficiency in distributed computing frameworks (e.g., Spark, Hadoop), cloud platforms (AWS preferred), and data orchestration tools.
</li><li>Strong programming skills in Python, Scala, or Java.
</li><li>Experience with data modelling, data warehousing, and advanced storage technologies (e.g., NoSQL, HDFS, Graph Stores)
</li><li>Experience in AWS cloud (Certification Preferred)
</li><li>Familiarity with observability tools like CloudWatch, PagerDuty, and Tableau
</li><li>Familiarity with implementation of Amazon RDS services
</li><li>Excellent communication and stakeholder management skills.
</li><li>Sound experience in building data pipelines &amp; ETL tools - AWS Data Stack (Ab Initio is good to have)
</li><li>Experience in designing and developing ETL test scripts for structured and unstructured data
</li><li>Sound skills testing solutions with large data volumes and complex data transformation rules
</li><li>Sound Leadership and behavioural skills including Active Listening, Constructive Challenge, Problem Solving and Risk management
</li><li>Sound in AI and Data Literacy with an experience and ability to use AI Tools into development lifecycle
</li></ul><p><b>Education Qualifications
</b></p><ul><li>Bachelor's or master&rsquo;s degree in computer science, Engineering, or related field
</li></ul><p></p><div><div><div><div><div><div><div><p>If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We&rsquo;re keen to support you with the next step in your career.
</p><p></p><p>We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.
</p></div></div></div></div></div></div></div><p></p>Advertising End Date: 19/12/2025</div>

Senior Data Engineer

<div><p>Job Title: Senior Data Engineer<br>
Job Description<br>
We are looking for a highly experienced Senior Data Engineer to design, build, and scale data-driven systems that power advanced analytics, machine learning models, and critical business decisioning. This role combines hands-on engineering, technical leadership, and architectural ownership across modern data and ML ecosystems. You will collaborate closely with cross-functional teams and drive best practices in data engineering, cloud architecture, and MLOps.<br>
<br>
Key Responsibilities<br>
1. Lead Engineering Delivery<br>
<br>
. Build, optimize, and maintain large-scale data pipelines, batch/streaming workflows, and distributed data systems.<br>
. Lead design reviews, coding standards, and best practices for scalable data applications.<br>
. Own end-to-end delivery of data engineering components, ensuring high performance and reliability.<br>
<br>
2. Architecture &amp; Technology Direction<br>
<br>
. Define the technical roadmap for data engineering and MLOps capabilities.<br>
. Evaluate modern big data, cloud, and ML tools to drive innovation and adoption.<br>
. Ensure solutions follow strong architectural principles and are built for scale.<br>
<br>
3. ML &amp; MLOps Integration<br>
<br>
. Work closely with data scientists to productionize ML models.<br>
. Build CI/CD pipelines for ML workflows, model monitoring, and automated retraining processes.<br>
. Implement cloud-native ML infrastructure and orchestration frameworks.<br>
<br>
4. Collaboration &amp; Stakeholder Partnership<br>
<br>
. Work with business, analytics, and IT teams to translate business requirements into scalable engineering solutions.<br>
. Communicate complex concepts clearly to both technical and non-technical audiences.<br>
<br>
5. Governance, Security &amp; Quality<br>
<br>
. Ensure compliance with data governance, security guidelines, and audit requirements.<br>
. Proactively identify risks and design mitigations in architecture and delivery.<br>
. Maintain high standards of documentation, testing, and code quality.<br>
<br>
<br>
Required Skills &amp; Qualifications (Must Have)<br>
Core Software Engineering<br>
<br>
. 10+ years experience coding in Java or Scala (strong backend engineering foundation).<br>
. Deep understanding of distributed systems, concurrency, performance optimization, and high-throughput data processing.<br>
<br>
Big Data &amp; Distributed Processing (5+ years)<br>
Hands-on experience with:<br>
<br>
. Apache Spark (mandatory)<br>
. Hadoop ecosystem<br>
. Snowflake<br>
. AWS Glue / EMR<br>
. Azure Databricks / ADF<br>
<br>
Cloud Platforms (AWS or Azure)<br>
<br>
. Strong understanding of cloud-native architectures, data storage layers, messaging, networking, and scalability design patterns.<br>
. Experience deploying workloads in either AWS or Azure.<br>
<br>
MLOps &amp; ML Lifecycle<br>
<br>
. Understanding of:<br>
<br>
Backend &amp; Front-End Exposure<br>
<br>
. Backend frameworks: Spring Boot, Flask, FastAPI, Node.js<br>
. Front-end familiarity: React or Angular (basic awareness acceptable)<br>
<br>
Soft Skills<br>
<br>
. Excellent communication skills, with the ability to simplify and explain complex concepts.<br>
. Ability to lead by example, mentor peers, and influence engineering direction.<br>
<br>
Education<br>
<br>
. Bachelor's degree in Computer Science, Engineering, or related field (Master's/PhD preferred).<br>
<br>
<br>
Nice to Have<br>
<br>
. Experience with AWS SageMaker or similar ML deployment platforms<br>
. Experience deploying or tuning Large Language Models (LLMs)<br>
. Full-stack development experience<br>
. Cloud or data engineering certifications<br>
<br>
</p><p><b>Your future duties and responsibilities</b></p><p></p><p><b>
Required qualifications to be successful in this role</b></p><p></p><p><b>
Together, as owners, let&rsquo;s turn meaningful insights into action.</b><br>
<br>
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;<br>
<br>
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.<br>
<br>
Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.<br>
<br>
You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
<br>
<br>
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</p></div>

Barclays

<div><p>Join Barclays as a Senior Data Engineer. At Barclays, we are building the bank of tomorrow. As a Strategy and Transformation Lead you will build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.</p><p></p><p><b>
To be a successful Senior Data Engineer, you should have experience with:</b></p><p></p><ul><li><p>
Hands on experience to work with large scale data platforms &amp; in development of cloud solutions in AWS data platform with proven track record in driving business success.</p></li><li><p>
Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks.</p></li><li><p>
Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark.</p></li><li><p>
Understanding of Dev Ops Pipelines using Jenkins, GitLab &amp; should be strong in data modelling and Data architecture concepts &amp; well versed with Project management tools and Agile Methodology.</p></li><li><p>
Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications.</p></li></ul><p></p><p><b>
Additional relevant skills given below are highly valued:</b></p><p></p><ul><li><p>
Experience working in financial services industry &amp; working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL.</p></li><li><p>
Knowledge in BPS, IMPACT &amp; Gloss products from Broadridge &amp; creating ML model using python, Spark &amp; Java.</p></li></ul><p></p><p>
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.</p><p></p><p>
This role is based in Pune.</p>
<p><b>
Purpose of the role</b></p><p>
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.</p><p></p><p><b>
Accountabilities</b></p><ul><li>
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.</li><li>
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.</li><li>
Development of processing and analysis algorithms fit for the intended data complexity and volumes.</li><li>
Collaboration with data scientist to build and deploy machine learning models.</li></ul><p></p><p><b>
Vice President Expectations</b></p><ul><li>
To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..</li><li>
If managing a team, they define jobs and responsibilities, planning for the department&rsquo;s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..</li><li>
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others..</li><li>
OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..</li><li>
Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.</li><li>
Manage and mitigate risks through assessment, in support of the control and governance agenda.</li><li>
Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.</li><li>
Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.</li><li>
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.</li><li>
Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.</li><li>
Adopt and include the outcomes of extensive research in problem solving processes.</li><li>
Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.</li></ul><p></p><p>
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</p></div>

Chevron

<div><div>Total Number of Openings</div>
1<div></div><div>
About the position:</div><div></div><div>
Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design. A Senior Data Engineer designs and oversees the entire data infrastructure, data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. The expectation for this role is 5-10 years of relevant experience.</div><div></div><div>
Key responsibilities:</div><div></div><ul><li>Oversee the entire data infrastructure to ensure scalability, operation efficiency and resiliency.</li><li>Mentor junior data engineers within the organization.</li><li>Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).</li><li>Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 &amp; Azure Blob storage).</li><li>Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.</li><li>Optimize data pipelines in the Azure environment for performance, scalability, and reliability.</li><li>Ensure data quality and integrity through data validation techniques and frameworks.</li><li>Develop and maintain documentation for data processes, configurations, and best practices.</li><li>Monitor and troubleshoot data pipeline issues to ensure timely resolution.</li><li>Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.</li><li>Manage the CI/CD process for deploying and maintaining data solutions.</li></ul><div></div><div>
Required Qualifications:</div><div></div><ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.</li><li>At least 5 years of proven experience as a Data Engineer or similar role dealing with data and ETL processes. 5 - 10 years of experience</li><li>Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.</li><li>Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).</li><li>Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).</li><li>Experience with big data technologies (e.g., Spark).</li><li>Strong problem-solving skills and attention to detail.</li><li>Excellent communication and collaboration skills.</li></ul><div></div><div>
Preferred Qualifications:</div><div></div><ul><li>Learning agility</li><li>Technical Leadership</li><li>Consulting and managing business needs</li><li>Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc is accepted.</li><li>Experience building spark applications utilizing PySpark.</li><li>Experience with file formats such as Parquet, Delta, Avro.</li><li>Experience efficiently querying API endpoints as a data source.</li><li>Understanding of the Azure environment and related services such as subscriptions, resource groups, etc.</li><li>Understanding of Git workflows in software development.</li><li>Using Azure DevOps pipeline and repositories to deploy and maintain solutions.</li><li>Understanding of Ansible and how to use it in Azure DevOps pipelines.</li></ul><div></div><div>
Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.</div><div></div><div>
Chevron participates in E-Verify in certain locations as required by law.</div></div>

Quantiphi

<div><div>While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br>
<br>
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!</div><div></div><div>
Job Title: Senior Data Engineer (Tableau)<br>
Location Mumbai / Bangalore / Trivandrum (Hybird)<br>
Experience 4 - 6 years</div><div></div><div>
Overview:<br>
As a Tableau Developer, you will be responsible for creating computer systems and data visualization solutions to improve business processes. This role will include tasks such as generating Tableau dashboard reports, creating business intelligence reports and visualizations, and working with developers.</div><div></div><div>
Roles and Responsibilities:</div><ul><li>
Design, develop, conduct unit testing, and maintain complex Tableau reports for scalability, manageability, extensibility, performance, and reuse.</li><li>
Provide technical expertise in areas of architecture, design, and implementation.</li><li>
Determine the best implementation that will meet the design of the architect.</li><li>
Effectively communicate with stakeholders to understand and translate business requirements into technical Tableau solutions.</li><li>
Collaborate with cross-functional teams to deliver high-quality solutions.</li><li>
Manage client communication and meetings, documentation, feedback, and other processes.</li><li>
Train and mentor junior Tableau developers or end-users.</li></ul><div></div><div>
Skillsets Requirements:</div><ul><li>
Strong proficiency in Tableau Desktop and Tableau Server.</li><li>
Good understanding of database concepts, SQL, and other scripting languages.</li><li>
Develop customized business intelligence solutions, visualization, dashboards, and reports to answer business questions.</li><li>
Establish connections to diverse data sources, including databases, cloud services, and spreadsheets.</li><li>
Create calculated fields, measures, and dimensions for advanced analysis.</li><li>
Integrate and blend data to create comprehensive datasets for in-depth analysis.</li><li>
Design scalable Tableau solutions capable of handling large datasets and user loads.</li><li>
Ability to query and display large data sets while maximizing the performance of workbook.</li><li>
Utilize scripting languages for advanced calculations and data manipulation within Tableau.</li><li>
Implement Tableau calculations, including level of detail (LOD) expressions.</li><li>
Should have hands-on experience in one or more of the following:</li><ul><li>Dashboard and report development using Tableau Desktop</li><li>Knowledge of Tableau Embedded Analytics</li><li>Knowledge and expertise in Tableau Server Management and Tableau Online</li></ul></ul><div></div><div>
Soft Skills:</div><ul><li>
Excellent verbal and written communication skills.</li><li>
Attention to detail</li><li>
Strong problem-solving abilities</li><li>
The ability to adapt to changing requirements and technologies ensuring accuracy and precision in data analysis, report design, and development</li></ul><div></div><div><div><div><div><div><div><div><div><i>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us</i><i>!</i></div></div></div></div></div></div></div></div></div><div></div>

Sumo Logic

<div><p>The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data.</p>
<p>
As a Sr Data Engineer, you will actively contribute to, execute for, and lead IT in the design and development of data engineering solutions. You will be instrumental in helping us solve complex data integrity, security, process, and sanitization problems among Sumo Logic's robust inventory of cloud services, data tooling, and business applications. You will work closely with a team of highly skilled individuals to deliver on high impact engagements at Sumo Logic, rolling up to the Global Head of IT and reporting to our Senior Manager of Data Engineering.</p>
<p>
You are a strong data engineer who is passionate about scalable, resilient, secure, and cost-efficient data solutions. You care about producing clean, elegant, maintainable, robust, well-tested code; you do this as a member of a team, helping the group come up with a better solution than you would as individuals and providing experienced guidance and insight. Ideally, you have experience with performance, scalability, and reliability issues of 24x7 uptime systems and solutions.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Designing and implementing complex and well-architected enterprise data solutions that support mid-to-large size organizations</li>
<li>Work to improve existing data warehouse systems, solutions, and process through architectural reviews and design enhancement initiatives</li>
<li>Experience in devops methodologies and practices as applied to infrastructure, cloud, and business application data</li>
<li>Improve systems to provide strict data compliance adherence, security guardrails, and cost-optimization</li>
<li>Strong understanding and hands-on experience with data infrastructure and compute services in AWS that our data platform is deployed on top of</li>
<li>Design and manage data schemas and the flow of data through corporate systems and applications to ensure compliance, data integrity, and data security</li>
<li>Deliver well-architected, end-to-end data solutions to a growing enterprise organization across multiple infrastructure environments, data sources, and business applications</li>
<li>Build strong partnerships and engage with other teams at Sumo Logic to create solutions that enable and benefit all parties and increased derived value</li>
<li>Ensuring global delivery and alignment on all data initiatives and maintaining 24/7 uptime</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li>Extensive experience in Databricks, Spark, and AWS (EC2, RDS, Aurora, DynamoDB, S3 and Kinesis primarily)</li>
<li>Experience developing scalable, secure, and resilient data architectures and implementations</li>
<li>6+ of industry experience with a proven track record of ownership and delivery</li>
<li>Experience with Python scripting, PySpark, and other data frameworks or tools</li>
<li>Experience with SQL and data schemas</li>
<li>Experience with API calls and API-based ingestion</li>
<li>Hands-on and deep experience with git and GitHub</li>
<li>Proven experience and success in AWS infrastructure management and deployment for data platforms to leverage and run on top of (EC2, S3, RDS, VPC, Basic Network Adjustments, KMS, PrivateLink all a bonus)</li>
<li>Experience working with the data ingestion, data storage, and data consumption layers</li>
<li>Experience with both structured and unstructured data</li>
<li>Agile development experience and a familiarity with Jira, sprints, and pointing</li>
<li>Experience building robust and well-architected designs for enterprise scale data architectures and workflows</li>
<li>You should have a passion for continuous learning and deep technological curiosity</li>
<li>Excellent verbal and written communication skills</li>
<li>Experience and comfort with an on-call schedule for enterprise systems</li>
</ul>
<p><b>Desirable:</b></p>
<ul>
<li>Experience in AI/ML, Data Science, LLMs, Contextualization, Amazon Bedrock, and Amazon Nova, SageMaker, Iceberg</li>
<li>Experience in Terraform is a major positive</li>
<li>Experience in the following specific technologies is a plus:</li>
<li><ul><li>Tableau, Looker, and AWS Quicksight</li>
<li>Big Data services such as HDFS, Spark, Hive, HBase, Yarn, and Oozie</li>
</ul></li></ul><h2 class="jobSectionHeader"><b>About Us</b></h2>
<p>
Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness&mdash;combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.</p>
<p>
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.</p></div><p></p>

Lytx

<div><div>Senior Data Engineer</div><div>
Why Lytx?</div><div>
Are you interested in taking your career in Data Engineering to the next level? Do you enjoy building data pipelines that enable critical business insights?</div><div>
You will know you&rsquo;re right for this job if you have strong skills with Replication pipelines, Data warehousing, ETL, Data lakes, Big data applications, etc. and enjoy influencing technology decisions through collaboration with multi-functional teams! Our engineers are passionate about the latest innovations in the Data Engineering industry and have the technical freedom to try new things and promote continuous improvement of our platform and processes! Our team also guides and mentors our software developers on standard data platform methodologies used for Lytx applications.</div><div></div><div>
You'll get too:</div><ul><li>
Participate in the research, design, and testing of next generation data engine platforms</li><li>
Develop and guide long-term strategy for data pipelines and persistent data storage</li><li>
Evaluate and recommend database infrastructure and tools including cloud technologies</li><li>
Design, develop, and maintain integration solutions using the Dell Boomi/Rivery platform to connect disparate applications, databases, and systems, ensuring seamless and accurate data flow across an organization</li><li>
Key responsibilities include creating integration workflows, performing data mapping, troubleshooting integration issues, and ensuring data quality, security, and adherence to compliance standards</li><li>
Process documentation and data flow diagramming</li><li>
Mentor and coach junior engineers, software developers, and data analysts</li><li>
Perform other related duties as assigned</li></ul><div></div><div>
What You Need:</div><ul><li>
Proven track record with Data Engineering and BI</li><li>
Proficiency with Amazon RDS (Postgres) and Redshift</li><li>
In-depth knowledge of Boomi/Rivery low-code environment, including components like Profiles, Maps, Processes, Pipelines.</li><li>
Experience with SQL Server, Redshift and MongoDB. Strong query skills in various dialects of SQL.</li><li>
Strong understanding of data mapping, enterprise integration patterns, and middleware concepts.</li><li>
Proficiency with various data formats such as JSON, XML, and flat files.</li><li>
Solid knowledge of common data warehousing technologies and techniques</li><li>
Knowledge of security protocols, encryption, and data safeguarding for data in transit.</li><li>
Excellent conceptual, analytical, and problem-solving skills</li><li>
Bachelor&rsquo;s degree in Information Technology or similar experience</li><li>
Experience integrating with Salesforce and NetSuite is desirable.</li><li>
Experience creating reports in Tableau is desirable.</li><li>
Experience integrating with Totango and 6sense is a plus.</li></ul><div></div><div>
Lytx is powered by cutting-edge technology and Happy People. You want to use your powers for good, and that&rsquo;s exactly what we do at Lytx. Our team is made up of hungry, humble, and capable people who are making a difference every day with technology that helps save lives each year.</div><div></div><div><i>
Lytx, Inc. is proud to be an equal </i><i>opportunity/affirmative</i><i> action employer. We are committed to attracting, retaining and maximizing the performance of a diverse and inclusive workforce. </i><i>EOE/M/F/Disabled/Vet.</i></div><div></div><div>
Innovation Lives Here</div><div><br>
You go all in no matter what you do, and so do we. At Lytx, we&rsquo;re powered by cutting-edge technology and Happy People. You want your work to make a positive impact in the world, and that&rsquo;s what we do. Join our diverse team of hungry, humble and capable people united to make a difference.</div><div></div><div>
Together, we help save lives on our roadways.</div><div></div><div>
Find out how good it feels to be a part of an inclusive, collaborative team. We&rsquo;re committed to delivering an environment where everyone feels valued, included and supported to do their best work and share their voices.</div><div></div><div>
Lytx, Inc. is proud to be an equal opportunity/affirmative action employer and maintains a drug-free workplace. We&rsquo;re committed to attracting, retaining and maximizing the performance of a diverse and inclusive workforce. EOE/M/F/Disabled/Vet.</div></div>

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