Job Description

About the Role We 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 solid expertise in data engineering, ETL/ELT development, cloud-native architectures, and modern data warehousing technologies. Key Responsibilities - Design, develop, and maintain scalable data pipelines on AWS. - Build and optimize ETL/ELT processes for structured and unstructured data. - Develop data ingestion frameworks from multiple source systems. - Implement and manage cloud-based data lakes and data warehouses. - Ensure data quality, governance, security, and compliance standards. - Optimize data processing performance and cost efficiency within AWS. - Collaborate with Data Analysts, Data Scientists, and Business stakeholders to deliver data solutions. - Troubleshoot production issues and provide timely resolutions. - Implement CI/CD practices for data engineering workflows. - Create technical documentation and best practices for data architecture.



Required Skills AWS Services - AWS Glue - Amazon S3 - Amazon Redshift - AWS Lambda - AWS EMR - AWS Athena - AWS Step Functions - AWS CloudWatch - AWS IAM Data Engineering - Strong SQL and Python programming - Data Modeling (Star Schema, Snowflake Schema) - ETL/ELT Pipeline Development - Data Warehousing Concepts - Data Lake Architecture Big Data Technologies - Apache Spark (PySpark) - Hadoop Ecosystem (Good to Have) - Kafka/Kinesis (Preferred) DevOps & Automation - Git/GitHub/GitLab - CI/CD Pipelines - Terraform or CloudFormation - Docker (Preferred) Preferred Qualifications - Experience with Snowflake, Databricks, or Microsoft Fabric is a plus. - Knowledge of Data Governance and Data Quality frameworks. - Experience working in Agile/Scrum environments. - AWS Certification (AWS Certified Data Engineer, Solutions Architect, or Developer Associate) preferred.

📌 Data Engineer (Mumbai)
🏢 EXL
📍 Mumbai