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Senior Data Engineer

1 month ago

Troy, Michigan, United States V2soft Full time

V2Soft is a global company that provides high-performance technology solutions to solve real business problems. Our mission is to become our customers' true partners, enabling both parties to enjoy success.


Job Summary:
The Senior Data Engineer is responsible for understanding and supporting businesses through the design, development, and execution of Extract, Transform, and Load (ELT/ETL), data integration, and data analytics processes across the enterprise. He/She will stay on top of tech trends, experiment with and learn new technologies, contribute to the growth of data organization, participate in internal & external technology communities, and mentor other members of the team.

Provide technical leadership at every stage of the data engineering lifecycle, from designing data platforms, data pipelines, data stores, and gathering, importing, wrangling, querying, and analysing data.

The Senior Data Engineer will work closely with various customers including their immediate project teams, business domain experts and other technical staff members.

Work daily within a project team environment, taking direction from project management and technical leaders. Responsible for design, development, administration, support, and maintenance of the Snowflake Platform and Oracle Platform.

Participates in the full systems life cycle and cloud data lake/data warehouse design and build including recommendation of code development, integration with data marketplace or reuse and buy versus build solutions.


Key Responsibilities:


Technical Leadership: Lead data integration across the enterprise thru design, build and implementation of large scale, high-volume, high-performance data pipelines for both on-prem and cloud data lake and data warehouses.

Lead the development and documentation of technical best practices for ELT/ETL activities. Also, oversee a program inception to build a new product if needed.

Solution Design: Lead the design of technical solution including code, scripts, data pipelines, processes/procedures for integration of data lake and data warehouse solutions in an operative IT environment.

Code Development: Ensures data engineering activities are aligned with scope, schedule, priority and business objectives. Oversees code development, unit and performance testing activities. Responsible to code and lead the team to implement the solution.

Testing: Leads validation efforts by verifying the data at various middle stages that are being used between source and destination and assisting others in validating the solution performs as expected.

Meets or exceeds all operational readiness requirements (e.g., operations engineering, performance, and risk management).

Ensure compliance with applicable federal, state and local laws and regulations. Complete all required compliance training. Maintain knowledge of and adhere to company's internal compliance policies and procedures. Take responsibility to keep up to date with changing regulations and policies.