Scientific Data Engineer IV at Aditi Consulting

Job Responsibilities:

• Collaborate with the data product owner as the primary stakeholder to design and onboard new data products, and coordinate with data engineers to implement and manage access permissions.
• Obtain and integrate internal and external data sources, define schemas, and propose schema mappings.
• Develop data transformation solutions for onboarding to the data platform.
• Document processes related to data access, ownership, and issue resolution.
• Enhance or create data visualization and analysis tools.
• Identify and implement improvements in efficiency, data utility, and schemas.

Tasks:

• Extract and transform data from various sources (e.g., internal databases, CSV, Excel, Power BI, Parquet) using manual or programmatic approaches.
• Create data products during the initial phases of development.
• Work directly with the data product owner.

Requirements:

• BA degree + 7-10 years' experience
• Strong understanding of ETL processes.
• Proficiency in Python, SQL, Power BI (including DAX), and Excel (Power Query / M).
• Experience with data visualization tools.
• Ability to work collaboratively with cross-functional teams.
• Excellent problem-solving and communication skills.
• Understanding of access control methods, including Active Directory (AD) for authentication and authorization as it applies to setting ACL.

Compensation:

The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).

Benefits and Ancillaries:

Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.

Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process.  AI technology is used to gather data only and does not replace human-based decision making in employment decisions.

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