Job description
Overview
- Work closely with Data Analyst, Architects to achieve DQ objectives
- Validating data pipelines and ensuring the quality of datasets
- Collaborate with the Data Delivery technology teams and architects to define and develop solutions
- Gather business requirements for the building of the Data Quality Dashboard that will include the full set of functionalities from exception identification to remediation
- Formulate and actively develop test cases, test scripts, and output report specifications for data remediation projects
- Maintain up-to-date documentation for the Data quality audits and processes
- Manage and provide data quality control and perform deep-dive analysis of data, identifies problems, root cause, and solution
- Able to integrate data QA automation using DQ tools
- Should be able to research recent tools and technologies for project.
- Come up with innovations which team can get benefit from
- Mentor QA team and Provide solutions to team issues
- Troubleshooting skills to optimize performance.




- Leads a team of 8 data QA and own and prioritizes work allocation based on business need
- Provides regular coaching and feedback to direct reports

Responsibilities
- 7+ Years of Experience in Data Test Automation, Data Comparison and Validation.
- Must have experience in ETL/ELT tools and pipeline
- Working experience with Python libraries such as Pandas, NumPy, and SQL Alchemy for ETL
- Strong understanding of Data Warehouse/Data Lake Architecture and Development
- Experience with relational SQL and NoSQL databases
- Good knowledge of SQL, DB Procedures, Packages, and Functions.
- Experience with data pipeline and workflow management tools
- Experience working with relational databases
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience in SQL injection, and query performance (Athena).
- Must have CI/Cd knowledge
- Knowledge of bit bucket/git
- Excellent interpersonal and communication skills

Qualifications
Ad

📌 QA Data (Bengaluru)
🏢 Omnicorm Media Group
📍 Bengaluru