Data Engineer
Amazon.com, Inc.
Dallas, TX, United States
14 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Microsoft Azure
Data Cleansing
Database Queries
Python (Programming Language)
SQL Databases
Enterprise Data Management
Azure Data Factory
Data Pipelines
Databricks
Requirements
- 4-5+ years of hands-on Databricks experience
- Strong SQL skills
- Strong Python programming skills
- Experience building and supporting data pipelines and enterprise data solutions
- Ability to troubleshoot and triage data issues independently
- Strong communication skills with both technical and business stakeholders
- Able to work proactively with limited direction
- Capable of leading projects when needed
Nice-to-Have Skills These are not requirements but would be beneficial:
- Azure Data Factory (ADF)
- Additional Azure ecosystem experience
- AI/ML data preparation experience
Manager noted that ADF is not currently used heavily but familiarity with it is advantageous., * A Databricks-heavy Data Engineer
- Comfortable in a Lakehouse environment
- Strong in SQL and Python
- Retail and merchandising savvy
- Able to communicate effectively with business partners
- A proactive self-starter who can hit the ground running
- Someone who can own problems rather than wait for direction
About the company
Line of Business: Service & Support About Us Heidelberg Materials is one of the world’s largest suppliers of building materials. Heidelberg Materials North America operates ove…
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