Job Description Python DQ
Enforcing company data policies and procedures to ensure data quality and reduce discrepancies
Securing approvals for data access based on business needs
Identify any data integrity issues and deep dive to find root cause
Using SQL queries, Python, Right data , different DQ Tools, Power BI and API calls to stand up DQ dashboards for different domains / executive leadership
Developing / maintaining documentation on databases, production tables , business glossary
Collaborating across the company’s multiple data teams, transactional systems to meet analytics deliverables.
Qualification
To Be Successful In This Role You Have
5-7 years of experience in consulting, business intelligence, analytics, or an equivalent analyst/engineer position with expertise in SQL and Python .
Knowledge of Java and scripting is a plus.
Expertise of working in data management space, data lineage, data catalogue is a huge plus.
should be self-directed, motivated and ready to work in a fast-paced environment amidst aggressive stakeholder expectations.
Effective problem solving and analytical skills. Ability to manage multiple projects.
Attention to detail, organization and effective verbal/written communication skills.
Any experience in Azure, Snowflake is a plus.
Must be able to adapt to changing requirements.
Understanding of technology development projects and the full technology development lifecycle