Manage data engineering projects, ensuring alignment with business objectives. Provide strategic guidance on data engineering best practices. Oversee a team of data engineers. Ensure continuous improvement of data processes.
ResponsibilitiesKey Responsibilities:
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Design, build, and maintain efficient, reusable, and reliable architecture and code for data pipelines and data applications on AWS.
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Build robust data ingestion pipelines (from on-prem to AWS and within AWS) using AWS services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS.
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Develop and manage ETL/ELT processes to collect, process, and store data from multiple sources, ensuring data quality, integrity, and security.
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Architect and implement end-to-end data solutions (ingestion, storage, integration, processing, access) on AWS, with a focus on data lakes and data warehouses.
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Participate in the architecture and system design discussions for high-scale data engineering projects.
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Independently perform hands-on development, unit testing, and participate in code reviews to ensure adherence to best practices.
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Implement serverless applications using AWS Lambda, API Gateway, Step Functions, and other AWS technologies.
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Migrate data from traditional relational databases, file systems, and APIs to AWS-based data lakes (S3), RDS, Aurora, and Redshift.
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Implement high-velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred).
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Architect and implement CI/CD strategies for enterprise data platforms.
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Collaborate with product, operations, QA, and cross-functional teams throughout the software development cycle.
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Stay abreast of new technology developments, implement POCs for new tools/technologies, and onboard them for real-world use cases.
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Identify and resolve performance issues and continuously optimize for cost, reliability, and scalability.
Required Qualifications:
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Bachelor’s degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.
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5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.
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Strong programming experience with Python, Shell scripting, and SQL.
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Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.
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Experience in serverless application development and data pipeline orchestration.
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Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.
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Knowledge of ETL/ELT, data modeling, and big data technologies.
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Familiarity with data warehousing concepts and cloud-based architecture.
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Strong problem-solving skills and attention to detail.
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Excellent communication and teamwork abilities.
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent experience
- 5+ years implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises
- Strong programming experience with Python, Shell scripting, and SQL
- Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Aurora, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager
- Experience in serverless application development and data pipeline orchestration
- Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS
- Knowledge of ETL/ELT, data modeling, and big data technologies
- Familiarity with data warehousing concepts and cloud-based architecture
- Strong problem-solving skills and attention to detail
- Excellent communication and teamwork abilities
- Experience with Kafka (preferred)
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
