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Secure Tech Cards Pvt. Ltd

<p><b>Secure Tech Consultancy</b><br/><b>Position: Senior Data Engineer (For Our Client)</b></p><p>We&rsquo;re hiring an experienced <b>Senior Data Engineer</b> to design, build, and maintain advanced data systems for our client in the <b>Fintech domain</b>. The ideal candidate will have strong expertise in <b>ETL development (Python, Talend)</b>, <b>data warehousing</b>, and <b>SQL optimization</b> across multiple databases.</p><p><b>Key Responsibilities:</b></p><ul><li>Design and maintain complex ETL/ELT pipelines and data architectures.</li><li>Build scalable data solutions for analytics and business intelligence.</li><li>Optimize SQL queries and data warehouse models (Star, Snowflake).</li><li>Manage and integrate data across Teradata, Oracle, Postgres, MySQL, MongoDB, Gauss DB, and IBM DB.</li><li>Automate processes using Linux bash scripting.</li><li>Collaborate with cross-functional teams to deliver data-driven insights.</li></ul><p><b>Requirements:</b></p><ul><li>4+ years in Data Engineering or BI.</li><li>Strong command of Python, Talend, SQL, and data modeling.</li><li>Experience in Linux scripting and familiarity with Microstrategy.</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Engineering, or related field.</li></ul><p>If you&rsquo;re passionate about building high-performing data systems, <b>apply now</b> to join Secure Tech Consultancy&rsquo;s expert team.</p><p>Job Type: Full-time</p><p>Pay: From Rs180,000.00 per month</p><p>Work Location: In person</p>

Senior Data Engineer

Axiom world (Pvt.) Ltd

<ul><li><b>Job Title:</b> Senior Data Engineer / Data Solutions Specialist</li><li><b>Location:</b> Johar Town</li><li><b>Experience Required: 5+ Years</b></li><li><b>Office Timing: </b>3 pm - 12 am</li></ul><p><b>About the Role:</b></p><p>We are looking for a highly skilled <b>Senior Data Engineer</b> to architect, build, and optimize our data infrastructure. You will be responsible for designing scalable data pipelines, maintaining enterprise-grade databases, ensuring data reliability, and enabling advanced analytics across the organization. Your work will serve as the technical backbone for data-driven decision-making.</p><p><b>Key Responsibilities</b></p><ul><li>Architect, design, and maintain scalable relational and distributed databases (MS SQL Server, MySQL, PostgreSQL).</li><li>Build and optimize ETL/ELT pipelines for structured and unstructured data.</li><li>Develop and manage data warehouses and data lake solutions for analytics workloads.</li><li>Implement data ingestion frameworks and automate data workflows using SSIS, Azure Data Factory, or similar tools.</li><li>Write robust, optimized SQL queries, scripts, and stored procedures for performance-sensitive workloads.</li><li>Collaborate with Data Analysts and Business Teams to deliver analytical data models, marts, and datasets.</li><li>Implement data quality checks, governance practices, and ensure data integrity and security.</li><li>Monitor system performance and perform troubleshooting, performance tuning, and capacity planning.</li><li>Maintain documentation and enforce best practices in data architecture and DevOps/data engineering cycles.</li><li>Mentor junior team members and contribute to building a scalable data engineering culture.</li></ul><p><b>Required Qualifications</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>5+ years of proven experience as a Data Engineer, Database Developer, or similar role.</li><li>Strong command of SQL and RDBMS tuning, indexing, partitioning, and optimization.</li><li>Hands-on experience with ETL tools (SSIS, Azure Data Factory, Informatica, etc.).</li><li>Experience with data warehousing concepts, dimensional modeling, and OLAP systems.</li><li>Familiarity with cloud platforms (Azure preferred; AWS/GCP is a plus).</li><li>Good understanding of distributed data systems, streaming (Kafka/Spark) is a plus.</li><li>Experience collaborating with BI teams for KPI dashboards and analytics.</li><li>Strong analytical mindset, communication, and problem-solving skills</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Mercurial Minds (Pvt) Ltd

<p><b>Senior Data Engineer Job Description</b></p><p><b>Role Overview</b></p><p>We are seeking a highly skilled and experienced <b>Senior Data Engineer</b> to join our data team. This role is critical for designing, building, and maintaining our robust data architecture, ensuring high-quality data pipelines that drive key business intelligence and analytical decisions. The ideal candidate is an expert in diverse database systems, advanced ETL processes, and complex data warehousing concepts.</p><p><b>Key Responsibilities</b></p><p><b>Data Pipeline Development &amp; ETL</b></p><ul><li><b>Design, develop, and maintain complex ETL (Extract, Transform, Load) and ELT processes</b> using <b>Python</b> and <b>Talend</b>.</li><li>Develop robust, scalable, and highly performant data solutions for business intelligence and analytics.</li><li>Implement data quality checks, data validation, and monitoring processes within all ETL jobs.</li></ul><p><b>Database and Data Warehousing</b></p><ul><li>Serve as the subject matter expert in developing and optimizing <b>complex SQL queries</b> utilizing advanced analytical functions (e.g., window functions, common table expressions).</li><li>Apply expert knowledge of <b>Data Warehouse (DWH) modeling</b> techniques (e.g., Star Schema, Snowflake Schema, 3NF) to design and optimize data structures.</li><li>Demonstrate proficiency in managing and integrating data from a variety of databases, including <b>Mongo DB, Teradata, Oracle, Gauss DB, IBM DB, Postgres, and MySQL</b>.</li></ul><p><b>Technical Environment &amp; Tools</b></p><ul><li>Utilize and maintain expertise in the <b>Linux bash scripting</b> environment for automation and job orchestration.</li><li>Work with reporting and visualization tools, specifically <b>Microstrategy</b>, to support downstream reporting requirements.</li></ul><p><b>Project Leadership &amp; Communication</b></p><ul><li><b>Lead and manage complex, end-to-end data projects</b>, ensuring delivery meets technical specifications and business timelines.</li><li><b>Communicate effectively with multiple stakeholders</b>, including product managers, business analysts, and leadership, translating technical complexities into clear business implications.</li><li>Possess strong <b>presentation skills</b> and be proficient in designing clear, compelling data-driven presentations to share insights and project updates.</li></ul><p><b>Domain Knowledge</b></p><ul><li>A deep knowledge of Fintech Domain Required</li></ul><p><b>Required Qualifications and Skills</b></p><ul><li><b>Experience:</b> 4+ years of experience in Data Engineering, Business Intelligence, or a related field.</li><li><b>Expert ETL Tools:</b> Proven, hands-on expertise in writing complex ETL logic using <b>Python</b> and <b>Talend</b>.</li><li><b>Advanced SQL:</b> Expert-level proficiency in writing and tuning complex SQL queries and utilizing advanced analytical/window functions.</li><li><b>Data Modeling:</b> Deep knowledge of <b>DWH modeling</b> principles (Star, Snowflake, etc.).</li><li><b>Database Expertise:</b> Hands-on experience with the administration, querying, and performance tuning of a diverse set of database technologies, including <b>Teradata, Oracle, Postgres, MySQL, Mongo DB, Gauss DB, and IBM DB</b>.</li><li><b>Scripting:</b> Strong proficiency in <b>Linux bash scripting</b> for automation.</li><li><b>BI Tooling:</b> Familiarity with the <b>Microstrategy</b> reporting tool is highly desirable.</li><li><b>Soft Skills:</b> Demonstrated ability to manage projects, handle ambiguity, and present technical information clearly to non-technical audiences.</li></ul><p><b>Education</b></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related quantitative field.</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Experience:</p><ul><li>Linux: 2 years (Required)</li></ul><p>Work Location: In person</p>

Experian

<div><p><b>Job description</b></p><p></p><p><br>
Experian Consumer Services &ndash; Careers That Define &ldquo;What&rsquo;s the Next Big (Data) Thing&rdquo; for Consumers?</p><p>
What could be more exciting &ndash; personally and professionally &ndash; than being part of a &ldquo;disruptive&rdquo; business? Consider taking your career to the next level by joining the Leader that continues to disrupt the competition. As the &ldquo;disruptor&rdquo; and market leader we pride ourselves on building new markets, leading the pack through continuous evolution and innovation. It&rsquo;s a position Experian Consumer Services has enjoyed for more than a decade and we&rsquo;re always looking for the talent that can help expand that lead.</p><p>
These days, the &ldquo;next big thing&rdquo; is often &ldquo;the next Big Data thing.&rdquo; Experian Consumer Services offers an opportunity to lead the charge in turning consumer data into something people use and value every single day. We live in a world where information is a means to improving lives and we challenge our team to do just that: improve lives with our products.</p><p></p><p><b><br>
About us, but we&rsquo;ll be brief</b></p><p>
Experian is the world&rsquo;s leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses, and society. We are thrilled to share that <b>FORTUNE has named Experian one of the 100 Best Companies to work for</b>. In addition, for the last five years we&rsquo;ve been named in the <b>100 &ldquo;World&rsquo;s Most Innovative Companies&rdquo; by Forbes Magazine</b>.</p><p></p><p><b><br>
What you&rsquo;ll be doing</b></p><p>
The Senior Data Engineer will help build the next generation of cloud-based data tools and reporting for Experian&rsquo;s MCE contact center division. Valuable, accurate, and timely information is core to our success, and this highly impactful role will be an essential part of that.</p><p>
Delivery pace and meeting our commitments are a primary focus to ensure that we are providing information at the speed of business. As part of this, understanding the business-side logic, environment, and workflows is important, and in effect, we need someone that is an incredible problem solver. <b>If you are a self-driven, determined engineer that loves data, creating cutting edge tools, and moving fast, this position is for you! </b>We are a results-oriented team that is looking to attract and reward high performing individuals. Come join us!</p><p>
Responsibilities include:</p><ul><li><b>
Complex Dataset Construction</b>: Construct datasets using complex, custom stored procedures, views, and queries. <b>Strong SQL development skills are a must, preferably within Redshift and/or PostgreSQL</b>.</li><li><b>
Full-stack Data Solutions</b>: Develop full lifecycle data solutions from data ingestion (using custom AWS-based data movement/ETL processes via Glue with Python code) to downstream real-time and historical reports.</li><li><b>
Business Need to Execution Focus</b>: Understand data-driven business objectives and develop solutions leveraging various technologies and solve for those needs. Along with great problem-solving skills, a strong desire to learn our operational environment is a necessity.</li><li><b>
Delivery Speed Enablement</b>: Build reusable data-related tools, CI/CD pipelines, and automated testing. Enable DevOps model usage focused on continuous improvement, and ultimately reduce unnecessary dependencies.</li><li><b>
Shift Security Left</b>: Ensure security components and requirements are implemented via automation up-front as part of all solutions being developed.</li><li><b>
Focus on the Future</b>: Stay current on industry best practices and emerging technologies and proactively translate those into data platform improvements.</li><li><b>
Be a Great Team Player</b>: Train team members in proper coding techniques, create proper documentation as needed, and be a solid leader on the team as a senior-level engineer.</li><li><b>
Support US Operations</b>: Operate partially within US Eastern time zone to ensure appropriate alignment and coordination with the US-based teams.</li></ul><p></p><p><b><br>
What your background looks like</b></p><p>
Qualifications Required:</p><ul><li>
Extensive experience in modern data manipulation and preparation via SQL code and translating business requirements into usable reports.</li><li>
Solid automation skillset and ability to design and create solutions to drive out manual data/report assembly processes within an organization.</li><li>
Experience constructing reports within a BI tool while also taking ownership of upstream and downstream elements.</li><li>
Able to create CI/CD pipelines that perform code deployments and automated testing.</li><li>
Ability to identify business needs and proactively create reporting tools that will consistently add value.</li><li>
Strong ability and willingness to help others and be an engaged part of the team. Patience and a collaborative personality are a must; we need a true team player that can help strengthen our overall group.</li><li>
Goal-driven individual; must have a proven career track record of achievement. We want the best of the best and reward stellar performers!</li><li>
Must reside near or in the Hyderabad area and be able to work in office when needed.</li></ul><p>
Skills:</p><ul><li>
 5+ years developing complex SQL code required, preferably within Redshift and/or PostgreSQL</li><li>
 1+ years using Python, Java, C#, or other similar object-oriented language</li><li>
 CI/CD pipeline construction, preferably using GitHub Actions</li><li>
 Git experience</li><li>
 General knowledge of AWS Services, with a preference in Glue and Lambda.</li><li>
 Infrastructure-as-code (CloudFormation, Terraform, or similar product) a plus</li><li>
 Google Looker experience a plus (not required)</li></ul><br>
<p></p>
<br>
<div>About Experian</div><br>
<p>Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.</p><p>
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.</p><p>
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.</p><br>
<br>
<div>Experience and Skills</div><br>
<p></p><ul><li>5+ years developing complex SQL code required, preferably within Redshift and/or PostgreSQL</li><li>
1+ years using Python, Java, C#, or other similar object-oriented language</li><li>
CI/CD pipeline construction, preferably using GitHub Actions</li><li>
Git experience</li><li>
General knowledge of AWS Services, with a preference in Glue and Lambda.</li><li>
Infrastructure-as-code (CloudFormation, Terraform, or similar product) a plus</li></ul><br>
<br>
<div>Additional Information<br>
</div><br>
<p>Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.</p><p>
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.</p><div></div><p>
Experian Careers - Creating a better tomorrow together</p></div><p></p>

<div><p><b>Job description</b></p><p></p><p><b><br>
Job Description</b></p><p>
Experian UK&amp;I Business information division is looking for an accomplished <b>Senior Data Engineer</b> to join our dynamic team. You will develop data engineering applications and scalable data platforms. You will collaborate closely with teams to implement solutions that create value.</p><p></p><p><b><br>
Key Responsibilities:</b></p><ul><li>
Design, build, and maintain scalable, cloud-native data pipelines using AWS.</li><li>
Develop ETL/ELT workflows using Glue, Pyspark , and Python</li><li>
Improve data modeling, partitioning, and querying strategies</li><li>
Experience reading and developing Terraform-based infrastructure code</li></ul><p></p><p><b><br>
Qualifications</b></p><ul><li>
Bachelor's degree in computer science, Engineering</li><li>
5 to 7 years of experience in data engineering.</li><li>
Strong expertise in cloud development, particularly with AWS services such as Aurora PostgreSQL RDS, Glue, S3, IAM, EC2, Lambda.</li><li>
Hands-on experience and implementing best practices with AWS Glue, Glue data catalog and pyspark</li><li>
Proficient in PySpark and Python and expertise in SQL.</li><li>
Experience in AWS Data lake, Apache Iceberg and Lake Formation.</li><li>
Understanding of data modelling.</li><li>
Experience working in agile, multi-project environments.</li><li>
Experience with CI/CD pipelines and DevOps practices.</li></ul><br>
<br>
<div>About Experian</div><br>
<p>Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.</p><p>
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.</p><p>
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.</p><br>
<br>
<div>Experience and Skills</div><br>
<p><b>Qualifications</b></p><ul><li>
Bachelor's degree in computer science, Engineering &middot; 5 to 7 years of experience in data engineering. &middot; Expertise in cloud development, with AWS services such as Aurora PostgreSQL RDS, Glue, S3, IAM, EC2, and Lambda.</li></ul><br>
<br>
<div>Additional Information<br>
</div><br>
<p>Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.</p><p>
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.</p><div></div><p>
Experian Careers - Creating a better tomorrow together</p></div><p></p>

ACE Union

<p><b>About Us:</b></p><p>We are a dynamic and fast-growing financial technology group headquartered in Manchester, United Kingdom, with an established presence across the UK, Europe, Canada, Australia, Pakistan, and Bangladesh. Our group, encompassing ACE Money Transfer and ACE Union, operates across two regulated verticals: Electronic Money Services (EMI) and Cross-Border Remittances.</p><p>Through our digital platforms, including mobile apps, web portals, and APIs, we deliver a comprehensive range of regulated financial services. These include digital payments, e-wallets, electronic money issuance, prepaid cards, mobile top-ups, bill payments, and international money transfers, designed to serve both individual and business customers in over 100 countries. By leveraging cutting-edge technologies such as AI for fraud detection, automation for seamless transactions, and partnerships with global leaders like Mastercard, we provide secure, user-friendly, and accessible financial solutions that adapt to the evolving needs of a global customer base.</p><p>As we scale our EMI and remittance operations amid 2025's fintech landscape&mdash;marked by real-time payments, embedded finance, blockchain integration, and sustainability initiatives&mdash;we are building a leadership team to drive innovation, regulatory compliance, and excellence across our dual-regulated ecosystem.</p><p><b>Job Overview: </b><br/>This role is focused on designing and delivering scalable, secure, and high-performance data architectures to support the organization&rsquo;s expanding analytical and operational needs. The Senior Data Engineer will work closely with cross-functional teams to understand complex data requirements, define and implement robust data transformation rules, and lead the development and optimization of end-to-end data pipelines and data warehouse infrastructure.<br/>The ideal candidate will have hands-on experience in API based data integrations with third-party platforms, as well as a strong grasp of data governance principles. This includes implementing policies to ensure data quality, privacy, security, and compliance with regulatory standards. The role also involves optimizing workflows for cost efficiency and performance, while providing technical leadership to engineering and analytics teams in executing complex, data driven initiatives.</p><p><b>Key Responsibilities:</b></p><ul><li><b>Architecting Scalable Data Systems:</b> Designing robust data infrastructures capable of supporting increasing data volume and complexity.</li><li><b>Design Data Pipelines:</b> Develop efficient data ingestion pipelines and ETL processes capable of handling both structured and unstructured data effectively.</li><li><b>Data Warehouse Management: </b>Manage and optimize the data warehouse, ensuring efficient data storage, retrieval, and transformation. Implement best practices for organizing and managing raw, processed, and curated data, with scalability and future growth in mind</li><li><b>Optimize Data Modelling:</b> Write, optimize, and maintain complex SQL queries and Python scripts to ensure efficient data processing.</li><li><b>Streamlining Data Workflows:</b> Enhancing data storage, processing, and access methods to improve efficiency, strengthen data observability, and reduce operational costs through targeted infrastructure optimizations.</li><li><b>Governance &amp; Quality: </b>Develop and maintain data quality checks to ensure data is accurate, consistent, and regulatory compliant.</li><li><b>Develop Integration Procedures:</b> Design and implement processes to integrate data warehouse solutions into operational IT environments.</li><li><b>Driving Technical Leadership:</b> Guiding engineering and analytics teams in the execution of data-driven initiatives and innovation.</li><li><b>Research &amp; Development:</b> Keep up with the latest technological trends and identify innovative solutions to address customer challenges and company priorities.</li></ul><p><b>Skills and Qualifications:</b></p><ul><li><b>Bachelor&rsquo;s or Master&rsquo;s degree</b> in E<b>ngineering, Computer Science</b>, or a related field, or equivalent professional experience.</li><li><b>Minimum of 4 years</b> of hands-on experience in a <b>Data Engineering or Data Architecture role.</b></li><li>Proven experience with <b>cloud platforms</b> such as <b>AWS, Azure,</b> or <b>GCP,</b> with practical knowledge of their core data and infrastructure services.</li><li>Proficient in using <b>ETL tools</b> and <b>frameworks</b> such as <b>AWS Glue, Apache Airflow, Apache Spark, Kafka, Informatica, DataStage,</b> or Talend for integrating data from multiple sources.</li><li>Demonstrated expertise in setting up and managing scalable, high-performance data warehouse environments.</li><li>Strong understanding of dimensional data modeling and mapping techniques, <b>including Star, Snowflake, </b>and <b>Galaxy schemas.</b></li><li>Solid understanding of data privacy regulations, including GDPR, and experience applying best practices for data security, compliance, and governance.</li><li>Working knowledge of data observability principles and the full data lifecycle management.</li><li>Extensive experience in designing and developing ETL architectures to support large-scale, distributed data processing.</li><li>Deep knowledge of relational database concepts and advanced proficiency in SQL and Python for data manipulation and transformation.</li><li>Experience working in distributed environments, including clustering, partitioning, and sharding strategies.</li><li>Familiarity with building semantic models and preparing reporting and mapping documentation.</li><li>Strong analytical and problem-solving skills, with a logical and solution-oriented mindset.</li><li>Prior experience in the financial services sector is a plus.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs300,000.00 - Rs400,000.00 per month</p><p>Application Question(s):</p><ul><li>Do you speak English Proficiently ?</li><li>Do you have hands-on experience with DBT or Apache Airflow? If yes, please provide basic details on your experience, including specific use cases and projects.</li><li>What is your current compensation package?</li><li>What is your expected salary?</li><li>Is it possible for you to commute daily to Gulberg-3 Lahore, or to relocate to Lahore city for this job?</li><li>The shift timing connected with the role is 01 PM PST to 10 PM PST. Is it feasible for you to work in these timings?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Data Engineering or Data Architecture role.: 4 years (Required)</li></ul><p>Work Location: In person</p>

Egen Solutions Inc

<div><div><div><b>Job Overview:</b></div><div></div><div><br>
We are seeking a highly skilled <b>Senior Data Engineer</b> with deep expertise in <b>Microsoft Azure data ecosystem</b> to design, develop, and maintain scalable data pipelines and architectures. The ideal candidate will play a key role in building robust data solutions that support advanced analytics, BI, and AI workloads across the organization. This role involves working with cross-functional teams &mdash; data scientists, analysts, and business stakeholders &mdash; to ensure high-quality, secure, and performant data delivery.</div><div></div><div><b><br>
Total experience : 8 to 10 years<br>
</b></div><div></div><br>
<div><b>Key Responsibilities:</b></div></div><div><div><h3 class="jobSectionHeader"><b>
1. Data Architecture &amp; Pipeline Development</b></h3><ul><ul><li>
Design, develop, and maintain data ingestion, transformation, and storage pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics.</li><li>
Build end-to-end ETL/ELT workflows from diverse sources such as APIs, on-prem databases, SaaS applications, and data lakes.</li><li>
Implement data modeling (star schema, snowflake, data vault, etc.) for analytical and operational data stores.</li><li>
Manage data ingestion frameworks for both batch and streaming (real-time) use cases using Azure Event Hubs / Azure Stream Analytics / Kafka.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
2. Data Management &amp; Governance</b></h3><ul><ul><li>
Ensure data quality, consistency, and integrity across all environments.</li><li>
Implement and enforce data governance standards, including metadata management, lineage tracking, and data cataloging (e.g., Azure Purview).</li><li>
Manage security, compliance, and access controls using Azure Active Directory (AAD) and RBAC principles.</li><li>
Automate data validation, auditing, and monitoring workflows using modern DevOps practices.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
3. Cloud &amp; DevOps Integration</b></h3><ul><ul><li>
Manage and optimize Azure Data Lake Storage (ADLS Gen2) for cost and performance.</li><li>
Leverage Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates for environment provisioning.</li><li>
Implement CI/CD pipelines for data workflows using Azure DevOps / GitHub Actions.</li><li>
Optimize compute and storage costs while maintaining scalability and resilience.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
4. Collaboration &amp; Leadership</b></h3><ul><ul><li>
Partner with data scientists, BI developers, and product teams to deliver reliable data solutions.</li><li>
Mentor junior data engineers on best practices, coding standards, and Azure services.</li><li>
Participate in architectural reviews and contribute to data platform design decisions.</li><li>
Communicate technical insights and trade-offs to non-technical stakeholders effectively.</li></ul></ul></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Core Azure Services:</b></h3><ul><ul><li>
Azure Data Factory (ADF) &ndash; pipeline orchestration, triggers, linked services, integration runtime.</li><li>
Azure Databricks &ndash; PySpark, Delta Lake, notebooks, job orchestration.</li><li>
Azure Synapse Analytics &ndash; dedicated and serverless SQL pools, data modeling, query optimization.</li><li>
Azure Data Lake Storage (ADLS Gen2) &ndash; hierarchical namespace, lifecycle management.</li><li>
Azure Functions / Logic Apps &ndash; event-driven data workflows.</li><li>
Azure Event Hubs / Kafka / Stream Analytics &ndash; real-time data ingestion.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Programming &amp; Tools:</b></h3><ul><ul><li>
Strong in Python or Scala for data transformations.</li><li>
Proficient in SQL (T-SQL, Spark SQL, or Synapse SQL).</li><li>
Experience with PySpark for distributed data processing.</li><li>
Knowledge of Git, CI/CD, and DevOps best practices.</li><li>
Familiarity with Power BI integration or other reporting tools is a plus.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Data Architecture &amp; Modeling:</b></h3><ul><ul><li>
Expertise in data warehouse design, data lakehouse architecture, and data pipelines.</li><li>
Understanding of data partitioning, indexing, and query optimization techniques.</li><li>
Experience with dimensional modeling, slowly changing dimensions, and fact tables.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Other Skills:</b></h3><ul><ul><li>
Experience with API-based data ingestion and RESTful integrations.</li><li>
Exposure to machine learning data pipelines or feature stores is a plus.</li><li>
Familiarity with cost optimization and performance tuning in Azure.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Soft Skills</b></h3><ul><ul><li>
Excellent analytical and problem-solving abilities.</li><li>
Strong communication and documentation skills.</li><li>
Ability to work in an agile, fast-paced environment.</li><li>
Proven experience collaborating in cross-functional teams.</li><li>
Self-driven with a passion for data engineering and cloud technologies.</li></ul></ul></div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div><p></p>

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