ETL Developer

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in revenue, and employ approximately 11,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity. What We Offer: Flexible time off policy 401K Company match (up to 4% - dollar for dollar) Professional development, training, and tuition reimbursement programs Excellent medical, dental, vision, and life insurance policy options Opportunities for career advancement with an industry leading company! We are seeking an experienced Senior ETL Developer to design, build, and optimize scalable data integration solutions across the Microsoft Azure ecosystem. This role will focus heavily on Azure Data Factory (ADF), Azure Synapse Analytics, and Microsoft Fabric, with a critical emphasis on Master Data Management (MDM), particularly Reltio. The ideal candidate has strong hands-on experience building enterprise-grade data pipelines, integrating complex data sources, and ensuring high data quality and governance across analytical and operational systems. This position will be able to work remotely from anywhere in the United States but the ability to work East Coast hours is strongly preferred. Key Responsibilities Data Integration & ETL Development Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric Data Pipelines Build scalable data ingestion frameworks for structured and semi-structured data (SQL, APIs, flat files, streaming sources) Develop transformations using Synapse SQL, Spark (Synapse/Fabric), or Dataflows Gen2 Optimize pipeline performance, reliability, and cost efficiency Azure Data Platform Engineering Develop and manage solutions leveraging: Azure Synapse Analytics (dedicated & serverless pools) Microsoft Fabric (Lakehouse, Warehouse, Data Engineering experiences) Azure Data Lake Storage Gen2 Implement medallion architecture (Bronze/Silver/Gold layers) where applicable Collaborate with architects to design scalable data platform solutions Master Data Management (MDM) – Reltio Design and implement MDM integration workflows with Reltio Build and maintain pipelines to ingest, synchronize, and publish master data Work with business and data governance teams on: Data quality rules Matching and survivorship logic Golden record management Integrate Reltio with downstream analytics and operational systems Data Quality & Governance Implement data validation, cleansing, and lineage tracking Ensure compliance with governance policies and standards Support auditing, monitoring, and alerting for data pipelines Collaboration & Delivery Work closely with data architects, analysts, and business stakeholders Participate in Agile delivery (Scrum/Kanban) Mentor junior developers Contribute to coding standards and best practices On-Call Support Participate in a rotating on-call support schedule for production data pipelines and platforms On-call coverage begins as early as 5:30 AM and includes weekend support as needed Each rotation lasts two weeks, approximately four times per year Troubleshoot and resolve production issues, ensuring minimal disruption to business operations Perform root cause analysis and implement long-term fixes for recurring issues Required Qualifications Experience Bachelor’s degree or equivalent experience 5–8+ years of experience in ETL/data engineering Technical Skills Strong expertise in: Azure Data Factory (ADF) – pipelines, triggers, integration runtimes Azure Synapse Analytics – SQL, Spark, pipeline orchestration Microsoft Fabric (preferred or emerging experience) Solid experience with: SQL (advanced query tuning and development) Python and/or PySpark REST APIs and data integration patterns Hands-on experience with Reltio MDM including: Data model configuration Match & merge rules Data onboarding and outbound integrations Data Engineering Concepts ETL/ELT design patterns Data warehousing and dimensional modeling (Kimball, Data Vault familiarity a plus) Data lake architectures Performance tuning and scaling Preferred Qualifications Experience with: Delta Lake / Lakehouse architecture CI/CD for data pipelines (Azure DevOps, Git integration) Infrastructure as Code (ARM, Bicep, Terraform) Data governance tools (Purview or similar) Certifications (nice to have): Azure Data Engineer Associate Fabric Analytics Engineer (emerging)