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Mid-level generalist data engineer role in a metro location with broad skill requirements increases competition.
Core data engineering skills transfer across industries, though manufacturing/finance domain preference raises sensitivity slightly.
Explicit 5+ years requirement plus mandatory SQL Server/SSIS/SSRS and datawarehouse skills increases filtering strictness.
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Design, develop, and maintain scalable data pipelines, ETL processes, and reporting solutions using SQL Server technologies (SSIS, SSRS).
Optimize and troubleshoot complex SQL queries and data workflows to ensure data accuracy and performance.
Collaborate with cross-functional teams in Agile environments to deliver data warehouse solutions supporting manufacturing and finance domains.
Bachelor's degree in Computer Science or related field OR equivalent professional experience.
Minimum 5 years of hands-on experience in data engineering, BI development, or related roles.
Experience with SQL Server, SSIS, SSRS, complex SQL query optimization, and data warehousing concepts.
Experience working in Agile environments and supporting manufacturing or finance domain data solutions.
Experienced in building and deploying scalable data solutions, preferably with cloud platforms such as AWS or Databricks.
Demonstrated ability to contribute to continuous improvement through automation, performance tuning, or AI/ML initiatives.
Ability to work independently with a strong problem-solving mindset and deliver measurable business impact.