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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.</p><p><strong>About Costco Wholesale India:</strong></p><p>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.&nbsp;</p><p><strong>Job Description:</strong></p><ul><li>We are excited to announce an opening for Data Engineer, Staff at Costco.</li></ul><p><strong>Please find below the details of the role and its responsibilities.</strong></p><p><strong>Skills Required:</strong></p><ul><li>Python, GCP, Airflow, Cloud Composer, Data Orchestration, Data Streaming, Pub/Sub,</li><li>Kafka, Dataflow, Dataproc, Data Architecture, DWH, Data Warehouse, Warehouse, Data</li><li>Lake, Data lake</li></ul><p><strong>Experience Range:</strong></p><ul><li><strong>8+ years</strong></li></ul><p><strong>Job Description:</strong></p><p><strong>Position Title: Data Engineer, Staff</strong></p><p><strong>Job Description:</strong></p><p><strong>Roles &amp; Responsibilities:</strong></p><ul><li>Lead the design and implementation of enterprise data platforms: Architect and oversee the deployment of scalable, reliable, and secure data infrastructure for large organizations.</li><li>Drive innovation and adoption of new technologies: Research and integrate cutting-edge tools and frameworks for data ingestion, processing, and governance.</li><li>Mentor and guide junior and mid-level data engineers: Provide technical leadership, code reviews, and career development support.</li><li>Collaborate with stakeholders across teams: Align data engineering initiatives with business objectives and ensure cross-functional alignment.</li><li>Establish and enforce data engineering best practices: Define standards for pipeline architecture, data quality, security, and compliance across the organization.</li><li>Present findings and recommendations to senior leadership: Communicate technical concepts and business impacts to executives and decision-makers.</li></ul><p><strong>Technical Skills:</strong></p><ul><li>5+ years of experience</li><li>Expert-level proficiency in programming, automation, and orchestration: Mastery of Python, and workflow orchestration tools.</li><li>Deep understanding of data storage, processing, and governance: Advanced knowledge of data warehousing, Lakehouse architectures, and real-time streaming.</li><li>Proven ability to build and deploy scalable data systems: Design and implement robust, production-grade data platforms on GCP.</li><li>Experience with big data technologies: Use Dataflow, Dataproc, Pub/sub, or similar for large-scale data processing.</li><li>Strong security and compliance expertise: Implement and enforce security controls, encryption, audit logging for data systems, and compliance standards or data systems.</li><li>Excellent communication and presentation skills: Articulate technical concepts and business value to diverse audiences.</li></ul><p><strong>Must Have Skills:</strong></p><ul><li>Python, orchestration tools (e.g. Airflow, Cloud Composer)</li><li>Data architecture: data lakes, warehouses, streaming (e.g. Pub/Sub, Dataflow, Dataproc)</li><li>Experience with GCP and production-grade data platform deployment</li><li>Data security, compliance, and governance standards</li><li>Data modeling skills - 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