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Supply Chain Data engineering Lead
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Tata Elxsi Limited
Philadelphia, PA (In Person)
Full-Time
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Job Description
Tata Elxsi brings together the best technology and user-centric design expertise to help customers deliver innovative solutions and great consumer experiences. Our integrated Design and Technology teams help enterprises reimagine their products and services - from strategy, consumer research and insights, to service and experience design, technology implementation, integration, launch, and beyond. We are looking for someone with Qualifications
Data Engineering:
10+ years building data pipelines with Kafka/CDC, ETL tooling.Streaming Expertise:
Hands‑on with stream processing using Spark Streaming, Kafka Streams etc..SQL & BI
Strong SQL/analytics skills and experience building dashboardsData Governance:
Familiarity with lineage/audit tools (OpenLineage), data privacy, and regulatory controls.Communication:
Strong cross‑functional collaboration and experience presenting to executives.Education:
Bachelor s degree in CS/Engineering, or equivalent practical experience. Key Responsibilities Data Architecture & Design- Responsible in designing SupplyChain Anomaly Detection and Revenue Assurance platform for Order processing data platform.
- Define and own end-to-end supply chain data architecture, including source ingestion, transformation, storage, and consumption layers.
- Design data models for supply chain domains such as inventory, logistics, fulfillment, and supplier performance.
- Establish architecture standards, patterns, and design guidelines aligned with the enterprise data strategy. Data Engineering & Platforms
- Architect and guide development of scalable data pipelines using, o PySpark and Spark-based processing o Python for transformation, orchestration, and data services o Enterprise ETL/ELT frameworks o Advanced SQL for data modeling and analytics
- Support both batch and near-real-time data processing use cases
- Optimize pipelines for data quality, performance, scalability, and cost. Supply Chain Analytics Enablement
- Enable downstream usage for, o Supply chain planning and forecasting o Inventory optimization and demand analytics o Vendor and procurement performance reporting o Operational KPIs and executive dashboards o SKU Management
- Partner with analytics and data science teams to ensure data is fit for advanced analytics platforms. Cloud & Data Storage
- Design and oversee implementation of data solutions leveraging cloud-native data platforms.
- Ensure secure, compliant, and resilient data storage and access patterns Data Governance & Quality
- Partner with governance and security teams to ensure, o Data quality, consistency, and reliability o Data lineage, metadata management, and documentation o Compliance with data privacy, security, and internal policies Leadership & Collaboration
- Collaborate with product owners, supply chain leaders, engineering teams, and vendors
- Translate business and operational needs into technical architecture solutions
- Mentor data engineers and architects on best practices and design principles Tata Elxsi offers a comprehensive compensation and benefits package.