Data Governance Engineer

A Data Governance Engineer you should Collaborates well with stakeholders to ensure that data quality is maintained and enhanced across disparate data sources, leading to data-oriented development through application of machine learning and AI based methods. The ideal candidate will have a strong understanding of database and data analysis procedures. Ability to learn and transform data in general in existing systems. Excellent analytical and troubleshooting skills and interworking with all involved tools to make vision a reality.

HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN

• Manage and optimize data governance processes as a Data Governance Engineer.
• Define and implement data quality rules and thresholds to ensure data integrity and consistency.
• Build automated quality checks using Python, SQL, and PowerBI to streamline data validation.
• Handle various data sets, data types, and sources from heterogeneous applications efficiently.
• Proactively profile data to detect issues and ensure high data quality.
• Log and track data issues for detailed root cause analysis and resolution.
• Organize tasks effectively, working well under pressure to meet deadlines and deliverables.
• Maintain flexibility and a getting things done mindset while ensuring the highest standard of deliverables.

KEY SKILLS AND EXPERIENCE

You Have:

• Total 6+ years of experience in Data Governance Engineer
• Expertise in Database concepts, DBA, well versed in SQL, MySQL, DBMS, Database Tools
• Knowledge and expertise in handling various data set, data types and sources from heterogeneous applications
• Strong analytical and problem-solving skill
• Flexibility, highest standard deliverables and getting things done mindset.

It would be nice if you also had:

• Python certification.