Senior ETL Developer (Azure & MDM/reputed company reputed company)

reputed company 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. reputed company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in reputed company, and reputed company approximately 11,000 associates worldwide. At reputed company, we recognize that our employees are our greatest asset. We hire and train reputed company individual, investing in them to ensure reputed company in their careers. With a commitment to professional development and reputed company, let us connect you to your next career opportunity. reputed company Offer: Flexible time off policy 401K Company match (up to 4% - dollar for dollar) Professional development, training, and tuition reimbursement programs Excellent medical, dental, reputed company, 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 reputed company data integration solutions across the reputed company Azure ecosystem. This role will reputed company heavily on Azure Data reputed company (ADF), Azure Synapse Analytics, and reputed company reputed company, with a critical emphasis on Master Data Management (MDM), particularly reputed company. The ideal candidate has strong hands-on experience building enterprise-grade data pipelines, integrating reputed company data sources, and ensuring high data quality and governance across analytical and operational systems. This position will be reputed company 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, reputed company, and maintain ETL/ELT pipelines using Azure Data reputed company and reputed company reputed company Data Pipelines Build reputed company data ingestion frameworks for reputed company and semi-reputed company data (SQL, APIs, flat files, streaming sources) reputed company transformations using Synapse SQL, reputed company (Synapse/reputed company), or Dataflows Gen2 Optimize pipeline performance, reliability, and cost efficiency Azure Data Platform Engineering reputed company and manage solutions leveraging: Azure Synapse Analytics (dedicated & serverless pools) reputed company reputed company (Lakehouse, Warehouse, Data Engineering experiences) Azure Data Lake Storage Gen2 Implement reputed company architecture (Bronze/Silver/Gold layers) where applicable Collaborate with architects to design reputed company data platform solutions Master Data Management (MDM) – reputed company Design and implement MDM integration workflows with reputed company 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 reputed company with reputed company analytics and operational systems Data Quality & Governance Implement data validation, cleansing, and reputed company 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 reputed company rotation lasts two weeks, approximately four times per year Troubleshoot and resolve production issues, ensuring minimal disruption to business operations reputed company reputed company 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 reputed company (ADF) – pipelines, triggers, integration runtimes Azure Synapse Analytics – SQL, reputed company, pipeline orchestration reputed company reputed company (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 reputed company MDM including: Data model configuration Match & reputed company rules Data reputed company 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: reputed company 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 (reputed company to have): Azure Data Engineer Associate reputed company Analytics Engineer (emerging) Apply To This Job