QA Engineer - Databricks/ETL Testing

Info Dinamica Inc
Jersey City, NJ, United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Automation of Tests Data Validation Data Governance Extract Transform Load (ETL) Data Transformation Database Queries Regression Testing Software Requirements Analysis Data Pipelines Databricks

Requirements

  • Experience in developing and documenting test plans and test cases based on software requirements and technical specifications.
  • Understanding of data projects, data ingestion pipelines, and data transformation testing in the Databricks environment.
  • Designing secure, scalable and resilient cloud data solutions using AWS and Databricks within a hybrid work model.
  • Strong SQL skills for validating data transformations and documenting verification queries.
  • Experience with test automation strategies, regression testing, and data quality validation.
  • Knowledge of data access controls, Unity Catalog, Delta Sharing, and data governance concepts

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

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Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

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Request data validation using Fluent JSON Schema

Matteo Collina Matteo Collina · JS Congress

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

2:06 min

Elevating the QA engineering role for complex challenges

Ondřej Gróf Ondřej Gróf · World Congress 2026 Europe

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Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

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