Immediate need for a talented Data Engineer Lead - Supply Chain. This is a 06 - 12 months contract opportunity with long-term potential and is located in Philadelphia, PA (Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID: 26-18758
Pay Range: $55/hr - $60/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
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,
- PySpark and Spark-based processing
- Python for transformation, orchestration, and data services
- Enterprise ETL/ELT frameworks
- 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,
- Supply chain planning and forecasting
- Inventory optimization and demand analytics
- Vendor and procurement performance reporting
- Operational KPIs and executive dashboards
- 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,
- Data quality, consistency, and reliability
- Data lineage, metadata management, and documentation
- 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
Key Requirements and Technology Experience:
- 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 dashboards
- Data 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.
Our client is a leading IT consulting Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
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