Data Engineer ( AWS )

Job Description

Responsibilities: Design, develop, and implement scalable data pipelines using AWS services (Glue, EMR, DMS, S3, Redshift, etc.) Architect and maintain data lakes and data warehouses to support business intelligence and analytics Optimize data processing and storage for efficiency and cost-effectiveness Implement data quality checks and monitoring to ensure data integrity Collaborate with cross-functional teams (data scientists, analysts, software engineers) to understand data requirements and deliver solutions Stay current with emerging technologies and industry best practices in data engineering Qualifications: 7+ years of experience in data engineering or a related field Strong understanding of data warehousing concepts and dimensional modelling Hands-on experience with AWS services (Glue, EMR, Athena, DMS, S3, Redshift, EC2, Lambda, etc.) Proficiency in SQL and Python Experience with big data technologies (Spark/PySpark, Kafka, etc.) Familiarity with CI/CD pipelines and DevOps practices Excellent problem-solving and analytical skills Ability to work independently and as part of a team Good to have skillset: Experience with Snowflake/EMR/DataBricks or other cloud data warehouses Knowledge of data visualization tools (Tableau/Superset/PowerBI etc) Experience in the healthcare or insurance industry