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Job Details

Skills

kafka
etl
cdc
sql
spark
data quality
supply chain

Summary

Job Title: Data Engineer with Supply Chain

Location: Philadelphia , PA (Onsite)

Note: Only Local Candidates No Relocation

Interview: In-Person (F2F)

Job Type: Contract

Experience Required: 12+ Years

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

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 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91130400
Position Id: 8979570
Posted 30+ days ago

Data Engineer Snowflake & Azure_Pittsburgh, PA_(Onsite_Need Local_No Relocation_F2F Interview))

Pittsburgh, Pennsylvania

•

Today

Job Title: Data Engineer Snowflake & Azure Location: Pittsburgh, PA (Onsite) Employment Type: Contract Experience Required: 12+ Years Need Local | No Relocation | F2F Interview | Over View We are looking for an experienced Data Engineer with strong expertise in Snowflake and Microsoft Azure to join a high-impact enterprise data engineering team. Required Skills: 10+ years of experience in Data EngineeringStrong hands-on experience with SnowflakeExpertise in Azure Data Factory (ADF), Azure Data

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Data Engineer with Supply Chain_ Philadelphia, PA_ {Only Locals_ No Relocation_ F2F Interview}

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Suraj Paul

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