Build and maintain cloud data pipelines and ETL/ELT workflows using Snowflake, Spark/PySpark, and Python on AWS (EMR/Glue). Implement data modeling with SQL, manage Iceberg tables, and integrate CI/CD using CodePipeline/CodeBuild with GitHub/GitLab for deployments.
Location: Hyderabad Work Model: Hybrid Shift: 2-11 PM Primary Skill set - Snowflake, Python, AWS services - EC2, lambda, EMR, Glue job and catalog , iceberg tables Secondary Skills - Knowledge of how to use CI/CD pipelines - Github, Gitlab, how to use the respositories and how the code actualy gets deployed JD • Data Engineer with 3-4 years experience • Snowflake • PySpark / Spark (often on EMR or Glue) • Python for ETL/ELT transformations • SQL for data manipulation and modeling • CI/CD pipelines using CodePipeline / Code Build
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What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
