Job Description
About the Role
nWe are looking for a highly skilled AWS Data Engineer to design, build, and optimize scalable data solutions on AWS cloud. The ideal candidate should have strong expertise in data engineering, ETL/ELT development, cloud-native architectures, and modern data warehousing technologies.
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nKey Responsibilities
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- Design, develop, and maintain scalable data pipelines on AWS.n
- Build and optimize ETL/ELT processes for structured and unstructured data.n
- Develop data ingestion frameworks from multiple source systems.n
- Implement and manage cloud-based data lakes and data warehouses.n
- Ensure data quality, governance, security, and compliance standards.n
- Optimize data processing performance and cost efficiency within AWS.n
- Collaborate with Data Analysts, Data Scientists, and Business stakeholders to deliver data solutions.n
- Troubleshoot production issues and provide timely resolutions.n
- Implement CI/CD practices for data engineering workflows.n
- Create technical documentation and best practices for data architecture.n

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nRequired Skills
nAWS Services
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- AWS Gluen
- Amazon S3n
- Amazon Redshiftn
- AWS Lambdan
- AWS EMRn
- AWS Athenan
- AWS Step Functionsn
- AWS CloudWatchn
- AWS IAMn

nData Engineering
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- Solid SQL and Python programmingn
- Data Modeling (Star Schema, Snowflake Schema)n
- ETL/ELT Pipeline Developmentn
- Data Warehousing Conceptsn
- Data Lake Architecturen

nBig Data Technologies
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- Apache Spark (PySpark)n
- Hadoop Ecosystem (Good to Have)n
- Kafka/Kinesis (Preferred)n

nDevOps & Automation
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- Git/GitHub/GitLabn
- CI/CD Pipelinesn
- Terraform or CloudFormationn
- Docker (Preferred)n

nPreferred Qualifications
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- Experience with Snowflake, Databricks, or Microsoft Fabric is a plus.n
- Knowledge of Data Governance and Data Quality frameworks.n
- Experience working in Agile/Scrum environments.n
- AWS Certification (AWS Certified

📌 Data Engineer (New Delhi)
🏢 EXL
📍 New Delhi