FS - DBA / Data Engineer - 207

We are seeking a highly skilled DBA / Data Engineer with at least 4 years of experience to join our team in the automotive industry. This role requires a unique blend of database administration, data engineering, and cloud data solutions to ensure the reliability, scalability, and performance of our data ecosystem. The ideal candidate is detail-oriented, analytical, and experienced in designing and maintaining robust data workflows that support business-critical operations.Responsibilities Administer, maintain, and optimize SQL Server databases, ensuring high availability, reliability, and security. Design, build, and maintain ETL pipelines using SSIS to support data ingestion, transformation, and integration. Develop and manage Azure-based data solutions, including Azure SQL Database, Azure Data Factory, Azure Storage, and related cloud services. Monitor and troubleshoot database performance; implement indexing, partitioning, and best practices for query optimization. Collaborate with cross-functional teams to understand data needs and implement scalable solutions for analytics and reporting. Ensure data quality, consistency, and governance across systems and applications. Support data modeling, schema design, and documentation of data flows. Automate recurring DBA tasks and data operations to improve efficiency and reduce manual effort. Participate in on-call rotations or incident support when needed. 4+ years of experience as a DBA, Data Engineer, or in a hybrid data role. Strong hands-on experience with SQL Server, including performance tuning, security, replication, and backup/restore strategies. Proven experience developing and maintaining ETL pipelines with SSIS. Solid understanding of Azure data services (Azure SQL, ADF, storage, monitoring tools, etc.). Experience in data modeling, relational database design, and query optimization. Familiarity with CI/CD concepts for data pipelines (nice-to-have). Experience working in industries with complex data flows—automotive experience preferred but not required. Strong analytical skills and the ability to translate business needs into technical solutions. Excellent communication and teamwork skills. Nice to Have Experience with Azure Synapse, Databricks, or Spark. Knowledge of Power BI or other reporting tools. Experience with Python or other scripting languages for automation.