Looking for only Local candidates who can attend F2F interviews.
Key Responsibilities
Design, build, and maintain ETL/ELT pipelines using AWS services such as Glue, S3, and Redshift.
Develop complex and optimized SQL queries on large telemetry and manufacturing datasets.
Build data models, reporting datasets and dashboards.
Migrate legacy pipelines and APIs while validating data/output consistency.
Implement data quality checks, monitoring, alerts, and troubleshooting.
Perform pipeline support, failure remediation, and data backfills.
Develop self-service tools to simplify data onboarding and automation.
Explore AI/GenAI automation and agents for repetitive data engineering tasks.
Required Skills
3+ years of Data Engineering / Database / BI experience
Strong SQL and query optimization skills
Hands-on Python and/or PySpark
Experience with ETL, data warehousing, and data modeling
AWS experience with S3, Glue, Redshift, Athena, Lambda, RDS, or Step Functions
Experience with BI tools
Nice to have
Experience with Apache Spark / PySpark and AWS Glue
Experience with AI/ML or GenAI automation
Experience with telemetry, manufacturing, IoT, hardware, reliability, thermal, or battery data
Strong stakeholder communication and problem-solving skills
