Data QA Engineer - ETL, SQL & Databricks

Fintech Brand; Tampa (FL); On-site; USD 70,000 - 110,000; Full time

Job summary

Fintech is seeking a QA Engineer in Tampa, FL to perform manual and automated data quality testing across Oracle, Postgres, MongoDB, Databricks, and Druid platforms, validating data pipelines and reporting findings to the data engineering and development teams.

You will design test plans, write SQL queries, and develop automation scripts for data validation and migrations, coordinating testing activities across ingestion, migration and reporting pipelines.

Qualifications

• Experience with data quality testing and ETL validation.
• Strong SQL skills and Python scripting.
• Knowledge of Databricks and Druid preferred.

Responsibilities

• Perform manual and automated data testing across Oracle, Postgres, MongoDB, and Databricks pipelines.
• Design, develop and execute automation scripts for data validation and reconciliation.
• Estimate, plan and coordinate testing activities across ingestion, migration and reporting pipelines.
• Identify, record, document thoroughly and track data quality defects and discrepancies.
• Write and execute complex SQL queries to validate large datasets.
• Design test plans, scenarios and test cases for ETL/data pipeline and batch job testing.
• Validate Druid-backed analytics and reporting output for accuracy.

Skills

SQL

Python

Data quality testing

Tools

Databricks

Druid

Job description

Fintech is seeking a QA Engineer in Tampa, FL to perform manual and automated data quality testing across Oracle, Postgres, MongoDB, Databricks, and Druid platforms, validating data pipelines and reporting findings to the data engineering and development teams.

You will design test plans, write SQL queries, and develop automation scripts for data validation and migrations, coordinating testing activities across ingestion, migration and reporting pipelines.