AWS Data Engineer

Key Responsibilities

• Design, develop, and maintain robust, scalable ETL/ELT pipelines using Python
• Process and transform large datasets (millions/billions of records) efficiently
• Build batch and real-time data ingestion frameworks
• Work with cloud-native data services on AWS
• Develop data models, data lakes, and warehouse solutions
• Optimize data performance, reliability, and cost
• Ensure data quality, governance, and security standards
• Collaborate with Data Scientists, Analysts, and Product teams
• Troubleshoot and improve existing data workflows
• Document architecture, pipelines, and best practices

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• Required Skills
• 4–6 years of experience in Data Engineering
• Strong Python programming (Pandas, PySpark, NumPy, etc.)
• Hands-on experience handling large/complex datasets
• Experience building ETL/ELT pipelines
• Strong SQL skills
• Experience with:
• o Apache Spark / PySpark
• o Airflow / Prefect or similar orchestrators
• o Data warehousing concepts
• Understanding of data modeling and performance tuning

Job Type: Full-time

Pay: ₹500,000.00 - ₹1,500,000.00 per year

Work Location: Hybrid remote in Indiranagar, Bengaluru, Karnataka