Data Engineer (Pentaho)

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: 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