Hybrid Data Engineer - Spark, ELT/ETL & Lakehouse
Summary
Emapta is hiring a hybrid Data Engineer in the Philippines to design, build, and maintain batch and incremental ETL/ELT pipelines using Spark (PySpark, Spark SQL). The role applies data modeling for BI use cases and maintains data warehouse and lakehouse environments, ensuring data quality across global teams.
Emapta is hiring a Data Engineer to design, build, and maintain batch and incremental ETL/ELT pipelines that turn raw data into analytics-ready datasets. You will work on Spark-based transformations (PySpark, Spark SQL) and apply data modeling to support BI use cases.
Collaborating with Analytics, Backend, and Product teams, you will maintain data warehouse and lakehouse environments, ensure data quality, and contribute to scalable, production-ready data solutions across global teams.