IT Data and Analytics
  • USTECH Solutions, Inc.
4 Days Ago
NA
W2
Cuyahoga falls-OH
7-12 Years
Required Skills: MS Project, Primavera P6, EVM, Dependency mapping, milestone tracking, SQL skills
Job Description
Qualifications:
• Bachelor’s degree in computer science, Information Systems, Engineering, or related field (or equivalent practical experience)
• 7+ years of experience in data engineering, data integration, or related roles
• Advanced proficiency in SQL, including complex query development, performance tuning, and large-scale data transformations
• Strong experience working with SQL Server environments, including database design, optimization, and administration concepts
• Hands-on experience with ETL tools such as SSIS, DTS, Informatica, or comparable platforms
• Proven experience working within and modernizing legacy data environments, including mainframe or highly customized systems
• Demonstrated ability to analyze, reverse-engineer, and document undocumented or poorly documented data flows
• Experience designing and implementing scalable data pipelines and migration strategies
• Strong understanding of data validation, reconciliation, and data quality best practices
• Ability to work independently and take ownership in ambiguous, complex environments with limited documentation
 
Required Skills:
• Strong SQL skills (this is a must – including complex queries, performance tuning, and data transformation)
• Experience working with SQL Server environments
• Hands-on experience with ETL tools (SSIS, DTS, Informatica, or similar)
• Experience working in and modernizing legacy data environments
• Ability to work independently in environments with limited documentation
 
Responsibilities:
• Analyze and reverse-engineer existing legacy data flows
• Design and build new, streamlined data pipelines using SQL Server and existing ETL tools
• Migrate and transform data from legacy systems into more modern structures
• Validate data accuracy and ensure integrity during migration
• Partner with business and technical teams to understand data usage and dependencies

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