Data Pipeline Engineer-5

Job Type: Contract Job Category: IT Job Title: Data Pipeline Engineer Location: Remote Contract Job Summary: We are seeking a highly skilled Data Pipeline Engineer to design, build, and optimize robust data pipelines and platforms supporting large-scale data analytics and processing workloads. The ideal candidate will have hands-on experience with Databricks, Azure SQL Server, PySpark, and modern ETL/ELT frameworks, coupled with a solid understanding of data modeling, containerization, and scalability best practices. Key Responsibilities: Design, develop, and maintain data pipelines using Databricks (Python and PySpark) to support ingestion, transformation, and storage of large datasets. Implement ETL/ELT processes to extract data from various sources, ensuring data integrity, consistency, and accuracy across systems. Develop and optimize data models to support analytical and operational data needs. Build and manage Azure SQL Server instances including Managed Instances, Azure SQL Database, and SQL Server VMs for data storage and access. Apply data engineering best practices for performance tuning, scalability, and cost optimization across the data pipeline infrastructure. Utilize Docker and Azure Kubernetes Service (AKS) for containerized deployment and orchestration of data pipeline components. Collaborate with Data Scientists, Analysts, and Business Stakeholders to translate business requirements into technical solutions. Monitor and troubleshoot data pipeline performance, ensuring high availability, reliability, and data quality. Maintain thorough documentation of data architecture, data flows, and pipeline configurations. Drive automation initiatives to streamline deployment, testing, and data operations. Required Skills & Qualifications: Proven experience with Databricks using Python, SQL, and PySpark. Strong knowledge of Azure SQL Server ecosystem — including Managed Instance, Azure SQL DB, and SQL Server VMs. Expertise in data modeling, ETL/ELT design patterns, and data integration frameworks. Solid understanding of containerization (Docker) and Kubernetes (AKS) for data engineering workloads. Experience in performance optimization and scalability in cloud data environments. Strong SQL development skills, including query optimization and stored procedure development. Hands-on experience with Azure Data Services (ADF, Synapse, Storage Accounts) is a plus. Familiarity with CI/CD pipelines for automated deployment of data solutions. Required Skills DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER