QA Lead

Concord USA; India; On-site; INR 95,693,780 - 143,540,670; Full time

Job summary

Concord USA is seeking a Quality Engineering Lead to develop testing strategies and oversee data validation processes in complex ecosystems. The ideal candidate has over 8 years of experience in BI/Data testing, strong SQL skills, and hands-on experience with BI tools like Tableau and Power BI.

The role involves mentoring a team of QA engineers, leading automated testing efforts, and collaborating with data stakeholders to ensure high data quality.

Qualifications

• 8+ years in Quality Engineering or BI/Data testing with leadership experience.
• Advanced SQL for data validation and comparison.
• Hands-on testing experience with BI tools.
• Familiarity with ETL processes and tools.

Responsibilities

• Design testing strategies and test cases for complex data ecosystems.
• Validate data accuracy from source to target systems.
• Oversee validation of analytics in BI tools.
• Lead development of automated testing frameworks.
• Mentor and manage junior QA engineers.
• Resolve data anomalies and logic defects.

Skills

SQL proficiency

Data validation

Automation skills

Team leadership

ETL knowledge

BI testing

Education

Bachelor's degree in Computer Science or related field

Tools

Power BI

Tableau

Selenium

Python

Apache Airflow

Job description

Key Responsibilities

• Strategy & Planning: Design comprehensive testing strategies, test plans, and test cases tailored for complex data ecosystems and ETL architectures.
• Data Validation: Validate end-to-end data accuracy from source systems to target databases, data warehouses, and visualization layers.
• BI Testing: Oversee the validation of analytics, metrics, and KPI visualizations in BI tools like Power BI, Tableau, or Looker.
• Automation: Lead the development and maintenance of automated testing frameworks for API validations, data consistency checks, and ETL workflows (e.g., using Python, Playwright, or Selenium).
• Team Leadership: Mentor, manage, and coach junior QA engineers and SDETs, defining performance metrics and evaluating release readiness.
• Defect Management: Act as the primary escalation point for data anomalies, logic defects, and system integration issues, ensuring resolution prior to production.
• Collaboration: Partner with Data Engineers, Product Managers, and Business Analysts to clarify acceptance criteria and ensure "shift-left" data quality.

Essential Qualifications

• Experience: 8+ years in Quality Engineering or BI/Data testing, with at least 1-2 years in a leadership or senior capacity.
• SQL & Data Skills: Advanced proficiency in writing and executing SQL queries to profile, compare, and validate large volumes of data across various sources.
• BI Tooling: Hands-on experience testing BI tools (e.g., Tableau, Power BI) and understanding of data modeling (star schemas, dimensional models).
• ETL Testing: Familiarity with ETL processes, data pipelines, and workflow orchestration tools (e.g., Apache Airflow, dbt).
• Automation & Scripting: Strong understanding of automation frameworks and scripting languages like Python is desirable.
• Methodologies: Solid grasp of agile/Scrum methodologies and continuous integration/continuous deployment (CI/CD) pipelines.

Common Educational Background

• Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a closely related technical field