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EDI Migration Lead: Azure DevOps & Stakeholder Liaison

Job in Greensboro, Guilford County, North Carolina, 27497, USA
Listing for: TechDigital Group
Full Time position
Listed on 2026-10-23
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below

Job Details:
Mandatory

Skills:



• Advanced expertise in ETL / ELT pipeline design

• Handling:

o Batch data processing
o Near real time / streaming data

• Experience with structured and semi structured data

• Strong knowledge of:

o Incremental loading
o CDC (Change Data Capture)

• Pipeline orchestration and dependency management

• Strong programming skills in Python or Scala or Java (nice to have)

• Performance optimization for large scale data processing

• Solid understanding of:

o Dimensional modeling (Star / Snowflake)
o Normalized and denormalized models

• Strong experience on:
Azure, AWS, or GCP

• Hands on with Data Warehouses (Snowflake, Synapse, Big Query, Redshift)

Data Architecture & Solution Design

• Design end to end data engineering architectures

• Define scalable solutions for:

o Data lakes / lakehouse
o Data warehouses
o Streaming and real time systems

• Ensure alignment with enterprise architecture, security, and compliance standards

• Review and approve technical designs

Data Pipeline Development & Management

• Lead development of ETL / ELT pipelines

• Handle:

o Batch and real time ingestion
o Structured and semi structured data

• Optimize pipelines for performance, reliability, and cost

• Manage schema evolution and data dependencies

Data Quality, Reliability & Operations

• Establish data quality standards and validation rules

• Implement monitoring, alerting, and observability

• Perform root cause analysis for data incidents

• Drive operational excellence and stability

Dev Ops / Data Ops Enablement

• Build CI/CD pipelines for data workloads

• Automate testing, deployment, and rollback

• Improve reliability through automation

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