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Databricks Automation Engineer

Teamware Solutions

 

Seattle, WA, USA

Posted On: 30+ days ago
Experience: 10+ years
Availability: Hybrid
Openings: 1
Category: Databricks Engineer
Tenure: No Preference/Any
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Description

MUST HAVE TECHNICAL/FUNCTIONAL SKILLS:

 

Experience Required: 10+ yrs

8+ years of professional software engineering and testing experience, including technical ownership of QA/test practices across the SDLC.

3+ years leading or mentoring engineering/QA teams in technical areas (Test Lead, Principal QA Engineer, or similar).

Deep knowledge of data engineering and lakehouse patterns: partitioning strategies, ACID/Delta semantics, schema evolution, delta table optimization, CDC, time-travel, and data lineage; able to design verification approaches for Databricks/Spark/Delta Lake systems.

Proven experience architecting and building scalable automated test frameworks and embedding them into enterprise CI/CD using Azure DevOps or GitHub Actions.

Strong software engineering skills with extensive coding experience in Python, Java, or Scala for test development and automation; ability to review and contribute production-grade code

Extensive experience testing data pipelines and big-data processing (Databricks, Spark/PySpark, Delta Lake, ADLS Gen2) or equivalent streaming/batch platforms at scale.

 


 

Education

Any Graduate

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