Job Title

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 Title: Data Engineer L3 Job Description: Roles & Responsibilities: Lead the design and implementation of enterprise data platforms: Architect and oversee the deployment of scalable, reliable, and secure data infrastructure for large organizations. Drive innovation and adoption of new technologies: Research and integrate cutting-edge tools and frameworks for data ingestion, processing, and governance. Mentor and guide junior and mid-level data engineers: Provide technical leadership, code reviews, and career development support. Collaborate with stakeholders across teams: Align data engineering initiatives with business objectives and ensure cross-functional alignment. Establish and enforce data engineering best practices: Define standards for pipeline architecture, data quality, security, and compliance across the organization. Present findings and recommendations to senior leadership: Communicate technical concepts and business impacts to executives and decision-makers. Technical Skills: 8 – 12 years of experience Expert-level proficiency in programming, automation, and orchestration: Mastery of Python, and workflow orchestration tools. Deep understanding of data storage, processing, and governance: Advanced knowledge of data warehousing, Lakehouse architectures, and real-time streaming. Proven ability to build and deploy scalable data systems: Design and implement robust, production-grade data platforms on GCP. Experience with big data technologies: Use Dataflow, Dataproc, Pub/sub, or similar for large-scale data processing. Strong security and compliance expertise: Implement and enforce security controls, encryption, audit logging for data systems, and compliance standards or data systems. Excellent communication and presentation skills: Articulate technical concepts and business value to diverse audiences. Must Have Skills: Python, orchestration tools (e.g. Airflow, Cloud Composer) Data architecture: data lakes, warehouses, streaming (e.g. Pub/Sub, Dataflow, Dataproc) Experience with GCP and production-grade data platform deployment Data security, compliance, and governance standards Data modeling skills - Experience with different data modeling techniques (dimensional modeling, relational modeling, should be able to design scalable data models) SQL Skills level - Expert Deep understanding of bigquery, have experience on partitioning, clustering and performance optimizations Experience on Cloud function, Composer and Cloud run, dataflow flex templates - should be able to write.