Data Engineer
Location: Bangalore
Experience: 5–8 Years
Budget: ₹22 LPA
No. of Positions: 1
Role Overview
Seeking an experienced Data Engineer to build, optimize, and support scalable, production-grade data pipelines and enterprise data platforms using AWS, Snowflake, Spark/PySpark, Python, SQL, and Airflow/Astronomer.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data products.
Build batch, streaming, and distributed data processing solutions using Spark/PySpark, Python, and SQL.
Develop and optimize data solutions on AWS and Snowflake, including query performance and cost optimization.
Implement workflow orchestration using Airflow/Astronomer.
Ensure data quality, governance, security, lineage, monitoring, and platform reliability.
Support CI/CD, automated testing, DataOps, and AI-ready data platform initiatives.
Mandatory Skills
Strong hands-on experience in Data Engineering, ETL/ELT, and data pipeline development.
AWS, Snowflake, Spark/PySpark, Python, and SQL.
Airflow/Astronomer for workflow orchestration.
Data modeling, data warehousing, lakehouse architecture, and distributed data processing.
Data quality, security, governance, metadata management, and performance optimization.
Git, CI/CD, Infrastructure as Code (IaC), automated testing, and DataOps.
Experience delivering and supporting production-grade data platforms and business-critical data products.
Good to Have
Kafka, event-driven architecture, and real-time data processing.
GenAI, Agentic AI, LLMs, MCP, RAG, and AI-ready data architecture.
Semantic layers, Power BI, self-service analytics, APIs, and microservices.
Retail, eCommerce, supply chain, inventory management, or customer analytics experience.
Education
Required: Bachelor's degree in Engineering or a related discipline.
- Preferred: Master's degree in Computer Science or Information Technology.
Pay: Up to ₹2,200,000.00 per year
Work Location: In person
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