BI QA Lead

Concord USA; India; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

Concord USA in India is looking for a Senior QA Engineer to lead testing efforts across complex data ecosystems and ETL architectures. The ideal candidate should possess over 8 years of experience in Quality Engineering, with a focus on BI tools and data validation.

This role involves designing testing strategies, overseeing analytics validations, and leading automation initiatives using tools like Python and Selenium. A strong educational background in Computer Science or a related field is essential.

Qualifications

• 8+ years in Quality Engineering or BI/Data testing, with 1-2 years in a leadership role.
• Advanced proficiency in SQL for data validation.
• Hands-on experience testing BI tools and understanding data modeling.

Responsibilities

• Design comprehensive testing strategies and test plans for complex data systems.
• Oversee validation of analytics and KPI visualizations in BI tools.
• Lead development of automated testing frameworks for ETL workflows.

Skills

SQL & Data Skills

BI Tooling

ETL Testing

Automation & Scripting

Methodologies

Education

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

Tools

Power BI

Tableau

Python

Selenium

Playwright

Apache Airflow

dbt

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.