FS - DBA / Data Engineer - 207

AI overview

Engage in a critical role blending database administration and engineering to develop Azure-based solutions that enhance data workflows in the automotive industry.

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 administrationdata 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.

Requirements

  • 4+ years of experience as a DBAData 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.

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