Key Responsibilities :
- Work in an Agile/SCRUM environment with a seasoned data engineering team.
- Design, develop, test, and debug large-scale data infrastructure.
- Build and migrate to a contemporary Data Lake & ETL infrastructure .
- Develop data APIs and delivery services for operational and analytical applications.
- Drive automation and optimization of internal processes and data delivery.
- Support digital transformation for Hearst and CDS Global's Resin platform.

Required Skills & Experience :
- Cloud & Data Tools : AWS (Redshift, RDS, S3, Glue, Athena, MWAA), Pentaho, Airflow
- Programming & Query Languages : Python, SQL (strong fluency required)
- Databases : PostgreSQL, MySQL, large-scale (multi-TB) database management
- ETL/ELT Pipelines : Experience with Pentaho, AWS ETL tools
- Data Architecture : Strong understanding of data warehousing , big data pipelines
- Tools & Platforms : GitHub, unstructured data handling, Airflow (deep expertise)
- Big Data (Bonus) : Apache Spark experience
- Soft Skills : Strong analytical skills, cross-functional collaboration, offshore team coordination

📌 Data Engineer (Secunderabad)
🏢 People Tech
📍 Secunderabad