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 modern 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: Solid 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

Skills: Market Research, Data Analytics, Financial Analysis

Experience: 1.00-4.00 Years

📌 Data Engineer (Pentaho) (Hyderabad)
🏢 People Tech
📍 Hyderabad