More jobs:
SQL Developer
Job in
Cleveland, Cuyahoga County, Ohio, 44101, USA
Listed on 2026-02-16
Listing for:
Confidential Company
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Engineer, Data Warehousing
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.
- 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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