Data Quality Engineer

2 months ago

Bengaluru, India Gainwell Technologies LLC Full time
Summary

We are looking for a Data Quality Engineer to join our Data and Analytics team to develop and automate solutions for operational efficiencies and improved reliability of our Cloud Data Analytics Platform. As we expand customer deployments, you will work with our DevOps and Product Development teams and play a critical role in ensuring the reliability, availability, and performance of our systems and services.

Your role in our mission

 

Essential Job functions

 

  • Perform data analysis and data defect resolution in a data warehouse environment
  • Perform SQL queries to analyze and troubleshoot issues
  • Discover data quality issues and design solutions to remediate
  • Make decisions in complex and multi-faceted data engineering situations requiring understanding of technology data and data relationships
  • Strategically collaborate and consult with internal partners to resolve highly risky data engineering challenges
  • Establish data quality automation plans to improve data validation, while working in collaboration with our automation team
  • Build test cases to validate data consistency, accuracy, validity, uniqueness, & completeness
  • Provision data for QA, UAT & performance testing
     
What we're looking for

 

  • Bachelor’s degree (or equivalent) in computer science or related discipline
  • Thorough understanding of the Data lifecycle, tools and platforms
  • Experience with data structures and Cloud Data Lakehouse technologies such as Databricks
  • Strong SQL skills with ability to write complex SQL queries in the Healthcare domain
  • 5+ years of data analytics experience with an understanding of Python, SQL, Data visualization, Data cleaning and preparation
  • Ability to visualize findings through charts, graphs and other visualization tool to share with development data teams and provide recommendations
     
What you should expect in this role

 

  • Fast-paced,challenging and rewarding work environment.
  • Hybrid Office environment.
  • Will require late evening work to overlap US work hours.

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