Senior Data Engineer

We are seeking 8+ years of experienced Senior Data Engineer- AWS with strong expertise in Big Data technologies, AWS cloud services / Snowflake to design, build, and optimize scalable data platforms and pipelines. The ideal candidate should possess hands-on experience in modern data engineering practices, cloud-native solutions, and large-scale data processing.
Location- Pune/Bengaluru
Required Skills-
Big Data & Data Engineering- Apache Spark (PySpark/Scala Spark), Hadoop Ecosystem, Kafka/Event Streaming, Data Modelling and Data Warehousing, ETL/ELT Development, SQL and Performance Optimization
AWS Technologies- AWS Glue, AWS EMR, AWS S3, AWS Lambda, AWS Redshift, AWS Step Functions, AWS CloudWatch, AWS IAM
Snowflake- Snowflake Architecture and Administration, Snowflake Data Loading & Performance Tuning, Snowpipe, Streams & Tasks, Data Sharing, Snowpark (preferred)
Programming- Python, SQL, Shell Scripting
Key Responsibilities
Design, develop, and maintain scalable data pipelines for batch and real-time processing.
Build and optimize data solutions using Big Data technologies and cloud-native architectures.
Develop ETL/ELT pipelines leveraging AWS services and Snowflake.
Implement data quality, governance, monitoring, and operational controls.
Support data ingestion, transformation, and analytics workloads across enterprise platforms.
Optimize data processing performance, scalability, reliability, and cost efficiency.
Ensure adherence to security, compliance, and enterprise data management standards.

Work arrangement
No