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Lead Data Engineer (8-12 yrs)

8-12 years

Lead Data Engineer (8-12 yrs)

Talent500

posted 1mon ago

Job Role Insights

Flexible timing

Job Description

Job Description :


Responsible for implementing and supporting analytic data models and data pipelines for multiple business processes on the new 3M healthcare company's data warehouse and big data analytics infrastructure.


Responsibilities :


- Implement data models and curated datasets on a modern data warehouse and data hub.


- Interface directly with business and systems subject matter experts to understand analytic needs and determine logical data model requirements.


- Implement ETL processes between data warehouses and source systems.


- Work closely with data architects and senior analysts to identify common data requirements and develop

shared solutions.


- Support data models and data integration solutions in production.


- Support and maintain data warehouse, ETL, and analytic platforms.


Requirements :


- Data warehouse and ETL background.


- Advanced SQL programming capabilities.


- Background in preparing data for analysis and reporting.


- Experience with analytical tools for data discovery, modeling, visualization, analysis, and reporting.


- Success in a highly dynamic environment with the ability to shift priorities with agility.


- Ability to go from whiteboard discussion to code.


- Willingness to explore and implement new ideas and technologies.


- Ability to effectively communicate with technical and non-technical audiences.


- Ability to work independently with minimal supervision.


- Bachelor's in Computer Science, Information Systems, Engineering, science discipline, or similar


Minimum Qualifications :


- 6+ years experience with SQL. Snowflakes are strongly preferred.


- 6+ years experience in data modeling design and implementation.


- 4+ years experience with Informatica IICS.


- 4+ years experience working directly with subject matter experts in both business and technology domains.


- 2+ years experience with BI and analytic tools. PowerBI or Tableau.


Nice-to-have :


- Experience with Machine Learning tools and processes.


- Hands-on experience with Python.


Functional Areas: Software/Testing/Networking

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