SQL Data Engineer - 100% Remote

1. Must be highly skilled in SQL, complex recursive queries, creating stored procedures, ETL, Data Informatica (a plus), Databricks (a plus). This person will be “right hand” to the Data Architect of the team. The team is lean, 8 people total including Manager.
2. Must be US Citizen
3. Long Term Contract 1 year +
4. Pay: $58 – 70/hr

We are seeking a Data Engineer r or ETL/data integration/big data developer with experience in projects emphasizing data processing and storage.

This person will be responsible for supporting the data ingestion, transformation, and distribution to end consumers. Candidate will perform requirements analysis, design/develop process flow, unit and integration tests, and create/update process documentation.

• Work with the Business Intelligence team and operational stakeholders to design and implement both the data presentation layer available to the user community, as well as the underlying technical architecture of the data warehousing environment.
• Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes.
• Design and develop database objects, tables, stored procedures, views, etc.
• Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end
• Design and develop ETL Processes that will transform a variety of raw data, flat files, xl spreadsheets into SQL Databases
• Understands the concept of Data marts and Data lakes and experience with migrating legacy systems to data marts/lake.
• Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server)
• Maintain comprehensive project documentation.
• Aptitude to learn new technologies and the ability to perform continuous research, analysis, and process improvement.
• Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members.
• Manage multiple projects, responsibilities and competing priorities.

Required Experience:

• Programming languages, frameworks, and file formats such as: Python, SQL, PLSQL, and VB
• Database platforms such as: Oracle, SQL Server, MySQL
• Big data concepts and technologies, such as: Azure Synapse & Databricks
• SAP experience with the Business Objects toolset, Cisco Tidal scheduler, and SAP ABAP programming a plus