Data Engineer ( AWS )

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