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

Additional Skills

- Be tool agnostic and recommend new processes and techniques to improve the capability of testing for our clients.
- Good analytical, Problem-solving skills and communication skills.
- Leadership/mentorship experience
- Demonstrate motivation, ownership, compassion, and leadership capabilities within the Team
- Able to communicate feedback articulately
- Has analytical way of thinking

NICE TO HAVE

- Understanding of data observability tools like Great expectation, Light Up etc.
- Understanding of Cloud Technologies in AWS or Azure
- Experience in advanced Excel
- Experience in data integration tools like Power BI, Datadog, Altan etc.
- Have team management experience
- Knowledge of Atlassian products like Jira & Confluence

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