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
Robust understanding of Data Warehouse/Data Lake Architecture and Development
Experience with relational SQL and NoSQL databases
Valuable 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