We are hiring a Data Engineer to design, deploy, and monitor our data pipeline systems. You will orchestrate reliable ETL/ELT workflows, manage data warehouse schemas, and ensure engineering teams have access to clean transactional data.
Key Responsibilities
Design and scale distributed data pipelines using Python, Apache Spark, and SQL.
Model data warehouse structures in Snowflake, maintaining star-schemas and analytical indices.
Orchestrate complex pipeline dependencies using Apache Airflow and transform data using dbt.
Build pipelines to ingest structured, semi-structured, and streaming payloads.
Implement data validation layers, monitoring schema changes and database errors.
Required Qualifications
4+ years of experience in a dedicated Data Engineering or Data Platform role.
Mastery of SQL query design, database optimization, indexing, and warehouse partitioning.
Hands-on experience building pipelines with Apache Spark, Airflow, and dbt.
Solid experience working with cloud data warehouses (Snowflake, AWS Redshift, or Google BigQuery).
Experience writing clean, modular Python pipelines following software engineering standards.