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SQL Developer

Job in Cleveland, Cuyahoga County, Ohio, 44101, USA
Listing for: Confidential Company
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Design, develop, and maintain data warehouse solutions to support business intelligence and analytics needs.
  • Implement ETL processes to extract, transform, and load data from various sources into the data warehouse.
  • Develop and deploy BI solutions using tools such as Qlik Cloud, SSRS, or other reporting platforms.
  • Create and maintain clear, comprehensive documentation for all BI and data warehousing processes, including data flow diagrams, code documentation, and system configurations.
  • Collaborate with business analysts and stakeholders to understand data requirements and translate them into technical solutions.
  • Optimize and tune data warehouse performance to ensure efficient data retrieval and processing.
  • Develop and maintain documentation for data warehouse processes, architecture, and data models.
  • Ensure data quality and integrity through validation, cleansing, and monitoring procedures.
  • Troubleshoot and resolve data warehouse issues to ensure continuity and reliability.
  • Stay current on emerging data technologies and best practices in business intelligence and data warehousing.
What you’ll need
  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Minimum of 3+ years of experience as a Data Warehouse Developer, Data Engineer, or in a similar technical data role.
  • Strong knowledge of data warehousing concepts, ETL processes, and database management.
  • Proficiency in SQL and experience with database technologies such as Microsoft SQL Server and MySQL.
  • Experience with ETL tools such as AWS Database Migration Service.
  • Familiarity with data modeling techniques and tools.
  • Understanding of data warehousing concepts (Star Schema, Snowflake Schema, etc).
  • Knowledge of data governance and data quality management best practices.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
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