World Finance
Location: Greenville, South Carolina
Type: Direct Hire
Job #248913
Salary: $90,000
The Intersect Group is partnered with our client to find a
Database Engineer
to work a hybrid schedule in downtown Greenville.
Data Engineer - direct hire
Location:
Greenville, SC 29601 (Near N Academy Street and E McBee Avenue)
Schedule:
Hybrid schedule is 3 days onsite (M, W, F) and 2 days remote (T, TH)
Interview process:
Virtual interview followed by onsite interview
Needed:
3+ years of hands-on technical experience in data engineering Bachelor's Degree in Computer Science, Information Technology or related field Ability to problem-solve, work independently, and provide creative solutions for the business using data Strong Communications Skills with both internal team members and external business stakeholders Expertise in Python and Python Scripting Skilled in working with various cloud-based data warehousing systems for both internal and customer-facing applications - Azure Data Factory, Snowflake, Etc . Skilled in working with large scale data sets MS SQL Server, Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS) required. Advanced SQL skills, with expertise in creating and maintaining data structures in SQL Preferred:
Previous experience working in the financial services/consumer finance industry is a plus Experience with Microsoft Power BI is a plus, experience with a business intelligence and reporting platform preferred. Proficiency in Electronic Data Interchange (EDI) is a plus. Duties:
Communicate with non-technical stakeholders to determine technical solutions to business problems. Maintain an accurate and comprehensive inventory of data, data systems, and data storage Integrate External Systems with internal systems to ensure proper data flow between systems Process File-based data extracts using data retrieval and management tools to provide timely loading of critical business data Implement infrastructure required to optimize ETL and ELT operations across a variety of data sources Model and Assemble data sets that meet functional and technical business requirements Provide Expertise in data warehousing and data delivery across all departments of the organization Design, build, and maintain data delivery solutions in accordance with governing data architecture patterns Assist the business and technology stakeholders to deliver secure data solutions and projects
Database Engineer
to work a hybrid schedule in downtown Greenville.
Data Engineer - direct hire
Location:
Greenville, SC 29601 (Near N Academy Street and E McBee Avenue)
Schedule:
Hybrid schedule is 3 days onsite (M, W, F) and 2 days remote (T, TH)
Interview process:
Virtual interview followed by onsite interview
Needed:
3+ years of hands-on technical experience in data engineering Bachelor's Degree in Computer Science, Information Technology or related field Ability to problem-solve, work independently, and provide creative solutions for the business using data Strong Communications Skills with both internal team members and external business stakeholders Expertise in Python and Python Scripting Skilled in working with various cloud-based data warehousing systems for both internal and customer-facing applications - Azure Data Factory, Snowflake, Etc . Skilled in working with large scale data sets MS SQL Server, Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS) required. Advanced SQL skills, with expertise in creating and maintaining data structures in SQL Preferred:
Previous experience working in the financial services/consumer finance industry is a plus Experience with Microsoft Power BI is a plus, experience with a business intelligence and reporting platform preferred. Proficiency in Electronic Data Interchange (EDI) is a plus. Duties:
Communicate with non-technical stakeholders to determine technical solutions to business problems. Maintain an accurate and comprehensive inventory of data, data systems, and data storage Integrate External Systems with internal systems to ensure proper data flow between systems Process File-based data extracts using data retrieval and management tools to provide timely loading of critical business data Implement infrastructure required to optimize ETL and ELT operations across a variety of data sources Model and Assemble data sets that meet functional and technical business requirements Provide Expertise in data warehousing and data delivery across all departments of the organization Design, build, and maintain data delivery solutions in accordance with governing data architecture patterns Assist the business and technology stakeholders to deliver secure data solutions and projects