No H1B Transfers please
Relevant Experience: 10+ Years
Job Description
Duties: The ideal candidate brings 5+ years of data quality engineering
experience with a strong analytical mindset and the ability to investigate
datasets holistically—understanding how data relates to itself and to adjacent
datasets, formulating the right questions, and designing targeted analyses to
uncover issues or validate accuracy. They should be proficient in Databricks
and SQL Server testing environments, with hands-on experience using data
validation frameworks such as Collibra or Great Expectations. Strong Python and
SQL skills are essential for building data quality checks, along with expertise
in data profiling and anomaly detection techniques. The candidate must be
comfortable reading and interpreting code written by others, enabling them to
trace identified data issues back to their source within pipeline logic and
communicate findings clearly to engineering teams. Experience with test
automation frameworks and quality process development is expected, and
healthcare data validation experience is preferred. Strong documentation skills
and the ability to define and track quality metrics round out the profile.
Skills: - Databricks and SQL Server testing - Data validation frameworks
(Colibra, Great Expectations) - Test automation frameworks - Python and SQL for
data quality checks - Data profiling and anomaly detection - Documentation and
quality metrics
Experience: - 5+ years data quality engineering - Healthcare data validation experience preferred - Test automation and quality process development
If you are comfortable for this position, please share me below details with DL and Visa copy.
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Employer Details:

Shanthi Pedhiredla
SOVEREIGN TECHNOLOGIES LLC