Data Engineer

Key Responsibilities

• Design, build, and operate scalable batch and streaming data pipelines.

• Develop distributed data processing solutions using Spark, Apache Beam, or similar technologies.

• Orchestrate workflows using Apache Airflow.

• Build and maintain SQL and dbt transformations.

• Create reliable and well-modeled datasets within the data warehouse.

• Ensure data quality, observability, scalability, and performance.

• Collaborate closely with Analytics Engineers and Platform Engineers.

• Support data platform improvements and optimization initiatives.

Required Skills:

• Python

• Apache Spark

• Apache Beam

• Apache Airflow

• SQL

• dbt

• Data Warehousing

• Data Pipeline Development

• Batch & Streaming Processing