Data Analytics Engineer: ETL with Dataiku and Python

Quest Oracle Community; Michigan; Hybrid; USD 44,000 - 102,000; Full time

Job summary

CVS Health is building a data engineering function and seeks a professional to build ETL workflows using Dataiku and Python to receive, transform and populate data for applications across the health platform.

Collaborate with product managers, clinical support and designers to capture requirements, test and troubleshoot, write queries, analyze large datasets from multiple sources and contribute to knowledge management and team goals.

Qualifications

• Intermediate SQL knowledge.
• 2+ years ETL work with Dataiku or Alteryx.
• 2+ years Python experience.
• 2+ years data engineering experience.

Responsibilities

• Build ETL workflows using Dataiku and Python to receive, manipulate and populate data.
• Collaborate with cross-functional teams to gather and document product requirements.
• Support testing, troubleshooting and documentation of work.

Skills

SQL

ETL

Python

Data Engineering

Education

Bachelor's Degree or equivalent years of experience

Tools

Dataiku

Alteryx

Job description

CVS Health is building a data engineering function and seeks a professional to build ETL workflows using Dataiku and Python to receive, transform and populate data for applications across the health platform.

Collaborate with product managers, clinical support and designers to capture requirements, test and troubleshoot, write queries, analyze large datasets from multiple sources and contribute to knowledge management and team goals.