About Costco

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. 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.

Job Description

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 basic Cloud FinOps practices to monitor resource utilization and support cost optimization.
- Follow SRE fundamentals (availability, logging, alerting, error budgets) for data pipelines.
- Assume ownership and ongoing operational support for mission-critical data pipelines.

Required Qualifications & Skills:

- Up to 5 years of hands-on data engineering experience.
- Shell Scripting / Familiarity with gCloud SDK utilities.
- Solid grasp of data warehousing principles, data loading anti-patterns, and architectural trade-offs.
- Proficient in Python, SQL, and Spark ( Python / Scala APIs ).
- Working knowledge of GCP data products (BigQuery, GCS, Dataflow/Dataproc, Pub/Sub).
- Hands-on experience with pipeline orchestration tools (Cloud Composer / Apache Airflow) or equivalent..
- Familiarity with code versioning systems e.g. Github/Gitlab/Bitbucket/, CI/CD concepts, and basic data quality practices.
- Proven analytical background, keen attention to detail, strong problem-solving capabilities, and experience collaborating with cross-functional, global teams.

Good to Have:

- Exposure to DBT for analytics engineering.
- Basic understanding of Retail domain data and Adtech/Martech processes.
- Experience with data quality/observability tools or basic data contracts.
- Familiarity with Infrastructure-as-Code (Terraform), automation skills.
- Basic exposure AI Tools driven development, understanding of Skills / agent.

📌 Data Engineer Level 3 (Hyderabad)
🏢 Costco
📍 Hyderabad