Azure Data Engineer

Responsibilities Architect and implement data pipelines, data lakes, and warehouse models using Azure Synapse Analytics, and Data Lake Storage. Develop and optimize complex T-SQL queries, views, stored procedures, and data transformations in both dedicated and serverless SQL pools. Leverage Apache Spark (via Synapse) to process and transform large-scale datasets using Scala and/or Python. Design and implement ELT/ETL workflows across structured, semi-structured, and unstructured data sources. Collaborate with business analysts, data scientists, and stakeholders to deliver reliable and performant data solutions. Monitor, troubleshoot, and optimize performance across Synapse pipelines, Spark pools, and Azure data services. Apply data governance, metadata management, and security practices including RBAC, encryption, and auditability. Work within Agile/Scrum teams using modern DevOps and CI/CD practices for data development and deployment. Perform other duties as assigned. Required Skills/Qualifications Bachelor's degree in information systems, Computer Science, Engineering or equivalent years of experience in data or software engineering roles. Advanced skills in T-SQL and experience tuning queries for performance in large-scale distributed environments. Proficient use of Apache Spark, preferably within Synapse or Databricks, using Scala and/or Python. Experience with source control (Git) and CI/CD practices using Azure DevOps. Strong communication and leadership skills, with the ability to engage technical and non-technical stakeholders across the organization. Preferred Skills/Qualifications Deep understanding of Azure Data Factory, Data Lake Gen2, and SQL pools (dedicated/serverless). Experience building end-to-end data pipelines that support analytics, reporting, and operational needs. Microsoft certifications such as Azure Solutions Architect Expert. Experience with additional Azure services such as Azure Databricks, Azure Functions, Event Hubs, Logic Apps, Key Vault, and Power BI. Exposure to data lakehouse architecture, Delta Lake, or other modern data platforms. Understanding of data privacy and compliance frameworks (e.g., NERC, FERC, GDPR, CCPA, or smart meter data privacy protocols). Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology We are an equal opportunities employer and welcome applications from all qualified candidates.

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