524 | Senior Data Support Engineer
InteticsMaine, United States
Posted August 22, 2024
Full Time
About the Company
Intetics Inc. is a leading U.S.-based technology company providing custom software development, distributed professional team formation, product quality assessment, and “all-things-digital” solutions powered by AI/ML, SMAC, RPA, IoT, blockchain, and GIS/drone/LBS technologies. Leveraging our proprietary business models of Offshore Dedicated Team® and Remote In-Sourcing®, an advanced Technical Debt Reduction Platform (TETRA™) and SLA-based software engineering, we enable innovative organizations to access global tech talent and deliver predictable, high-quality outcomes through our Predictive Software Engineering framework. For over 30 years, Intetics has consistently exceeded client expectations, earning ISO 9001 (quality) and ISO 27001 (security) certifications, and recognition as a Microsoft Gold, Amazon AI Competency, and UiPath Silver partner. Our commitment to innovation and excellence is reflected in numerous industry accolades, including Inc 5000, Software 500, CRN 100, American Business Awards, Deloitte Fast 50, European IT Excellence, Stevie People’s Choice, Clutch, ACQ5, and listings on the IAOP Global Outsourcing 100 and Fortune Innovative 300. Learn more at https://intetics.com
Job Description
Intetics Inc. is seeking a Senior Data Support Engineer to bolster their team with a skilled professional. The role involves designing, developing, and maintaining data engineering solutions within a distributed team setting. The company provides custom software applications, professional services, and all-things-digital solutions.
Requirements
- 5-6 years of experience with Data Engineering
- 5-6 years of experience with Snowflake, Python, SSIS, SQL Server, DBT, AWS
- Proven track record of delivering data engineering projects
- 5-6 years of experience with SQL for complex data manipulation
- 5-6 years of experience with dbt core or dbt Cloud
- 5-6 years of experience with snowflake
- 5-6 years of experience with Python for scripting and custom data ingestion
- 5-6 years of experience with data modeling, ELT development, and data warehousing techniques
- 5-6 years of experience with Git and GitHub Pull Request
- 5-6 years of experience with QA and User Acceptance Testing processes