About Costco Wholesale:
Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience for their members.

About Costco Wholesale India:
At Costco Wholesale India, we foster a collaborative space, working to support Costco Wholesale in developing creative solutions that improve members’ experiences and make employees’ jobs easier. Our employees play a key role in driving and delivering innovation to establish IT as a core competitive advantage for Costco Wholesale.

We are seeking a proactive Associate/Mid-level GCP Data Engineer with 2 to 5 years of experience to design, build, and maintain scalable batch and streaming ETL/ELT pipelines on Google Cloud Platform. This role supports Retail analytics and AdTech/Martech data operations (including Retail Media Networks), working closely with senior engineers and analysts.

Key Responsibilities:
• Design,



build, and maintain batch and streaming data pipelines using Python, SQL, and PySpark on GCP.
• Orchestrate pipelines end-to-end using Cloud Composer (Apache Airflow), including DAG development, scheduling, dependency management, retries, alerting, and basic monitoring.
• Perform data ingestion from diverse sources (APIs, databases, ad logs, POS systems) and apply cleansing, transformation, and data quality logic.
• Work with core GCP services: BigQuery, Cloud Storage (GCS), Dataflow/Dataproc, Pub/Sub, and Cloud Composer.
• Support Retail and AdTech/Martech workflows such as ad impression logs, campaign performance tracking, customer segmentation, and point-of-sale data integration.
• Implement data quality checks, basic data contracts, automated testing, logging, alerting, and error monitoring.
• Manage version control with GitHub and contribute to CI/CD pipeline deployments.
• Apply bas

📌 Data Engineer Level 2b (Hyderabad)
🏢 Costco IT
📍 Hyderabad