
Lead Data Quality Engineer
6 days ago
About the role
The ideal candidate will have hands-on experience in developing and executing tests using tools such as SQL, Tricentis, Python (PySpark), and data quality frameworks, specifically for Data Pipeline, ETL, and ingestion testing.
Key skills required include proficiency in Data Quality, Business System Analyst, SQL, Python (PySpark), Data Pipeline, ETL, and a minimum of 6-8 years of relevant experience.
Additional requirements include a hybrid work mode and a contract-to-hire employment type. The notice period is immediate - 10 days.
Why this role?
This exciting opportunity allows you to leverage your expertise in data quality and integration testing to drive business growth and innovation. As a key member of our team, you will be responsible for ensuring the accuracy and reliability of our data pipelines and ETL processes.
What you'll do:
- Develop and execute tests using SQL, Tricentis, Python (PySpark), and data quality frameworks.
- Collaborate with cross-functional teams to identify and prioritize data quality initiatives.
- Design and implement data pipeline and ETL processes to meet business requirements.
- Ensure adherence to best practices and industry standards for data quality and security.
- Provide technical guidance and support to junior team members.
What we offer:
We offer a competitive compensation package, comprehensive benefits, and opportunities for professional growth and development. Our company culture values innovation, collaboration, and continuous learning.
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