Data Engineer
Core
Design, build, and maintain data pipelines and warehouses on GCP to support business analytics and reporting.
Role type
Data Engineer
Builds
Data lakes, data warehouses, and ETL pipelines for Big Data analytics
Domain
Retail / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, GCP (BigQuery, Dataflow, Airflow), ETL, dimensional modelling, relational databases (Oracle, PostgreSQL, MySQL, SQL Server), Git, SDLC
Preferred skills
Data visualization, retail industry processes
Technologies
AWS, Azure, GCP, BigQuery, Cloud Dataflow, Apache Beam, Cloud Composer, Apache Airflow, Oracle, PostgreSQL, MySQL, SQL Server, Git
Responsibilities
Design and develop data layers for Big Data analytics; Build and maintain data replication and ETL pipelines; Extract, transform, and load data from multiple sources into centralized data lakes and warehouses; Develop, test, and maintain high-quality data pipelines; Manage and optimize GCP costs and infrastructure; Create and maintain technical documentation; Conduct peer reviews and ensure compliance with SDLC standards.
Seniority
Mid-Senior, hands-on IC
