Data Engineer [T500-25102]

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 innovative 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.

Position Summary:

Data Engineers are responsible for developing and operationalizing data pipelines/integrations to make data available for consumption (i.e. Reporting, Data Science/Machine Learning, Data APIs, etc.). This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, orchestration; and deploying code to production via CI/CD. The Data Engineer role requires knowledge of software development/programming methodologies, various data sources (Relational Databases, flat files (csv, delimited), APIs, XML, JSON, etc.), data access (SQL, Python, etc.), followed by expertise in data modeling, cloud architectures/platforms, data warehousing, and data lakes. This role also will partner closely with Product Owners, Data Architects, Platform/DevOps Engineers, etc. to design, build, test, implement and maintain data pipelines.

Roles and Responsibilities:

• Own the design, development, and maintenance of ongoing data pipelines. to drive key business decisions across Martech / AdTech solutions for web, mobile, and backend systems
• Collaborate with product, data, and engineering teams to deliver scalable and reliable data-based solutions

for performant ads & marketing experiences

• Contribute to the Data architecture and reporting roadmap of the Martech/AdTech stack
• Recognize and adopt best data engineering practices in data integrity, test design, analysis, validation, and documentation.
• Ensure security, compliance, and data quality across integrations and data flows
• Identify root causes of data issues and develop solutions; Troubleshoot and resolve issues related to latency, data quality and accuracy

This position will be filled onsite in Hyderabad, India.

Job Duties/Essential Functions:

• Develops complex SQL & Python against a variety of data sources
• Implements streaming data pipelines using event/message-based architectures
• Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form
• Works in tandem with Data Architects to align on data architecture requirements provided by the requestor.
• Defines and maintains optimal data pipeline architecture
• Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery/orchestration
• Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.)
• Analyzes data to spot anomalies, trends and correlate data to ensure Data Quality
• Develops data pipelines to store data in defined data models / structures
• Demonstrates strong understanding of data integration techniques and tools (e.g. Extract, Transform, Load (ETL) / Extract, Load, Transform (ELT)) tools
• Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing)
• Identifies ways to improve data reliability, efficiency and quality of data management
• Performs peer review for another Data Engineer’s work

Required Skills:

• 2+ years of experience in Data Engineering
• Hands-on experience with AdTech or Martech platforms (DSP, DMP, CDP, CRM, tracking tools, etc.).
• Proficiency in programming (e.g., Python, Java, or similar).
• Experience with data integration, APIs, and cloud infrastructure (GCP/AWS/Azure).
• Strong collaboration, problem-solving, and communication skills.