Data Engineer

About the Role

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.