Quality Engineer in Bangalore, भारत

Responsibilities

• Design and manage data quality frameworks across production data pipelines.
• Build reusable data quality checks and automated validation scripts for S3 data lakes and Redshift warehouses.
• Validate data schemas, null values, uniqueness, referential integrity, data volume, freshness, late-arriving data, and business rules.
• Integrate data quality checks at ingestion, transformation, and pre-publish stages.
• Plan and execute requirements analysis, test strategy, test planning, risk assessment, test estimation, and release validation.
• Perform automated and manual testing of REST APIs, backend services, databases, and microservices.
• Conduct performance and load testing using JMeter or BlazeMeter, analyze bottlenecks, and recommend improvements.
• Integrate automation suites into GitHub Actions with quality gates, automated reporting, and continuous feedback.
• Perform defect analysis, root cause analysis, and production issue investigations.
• Use AI-assisted engineering tools to accelerate test design, automation development, defect analysis, and framework maintenance.
• Improve automation coverage, framework stability, execution efficiency, and quality engineering practices.
• Mentor junior Quality Engineers through technical guidance, code reviews, and knowledge sharing.

Requirements

• 3–4 years of experience in Quality Engineering, Data Engineering, Data Quality, or Data Reliability Engineering.
• Hands-on experience with data quality frameworks such as Great Expectations, Soda, dbt Tests, Deequ, or equivalent tools.
• Strong SQL skills, including window functions, complex joins, and queries on large partitioned datasets.
• At least two years of hands-on Python coding experience.
• At least two years of experience testing ETL data pipelines and data warehouses.
• Experience with S3, Glue, Athena, Spark on EMR, and Apache Iceberg.
• Experience with REST API automation, Postman, and API testing frameworks.
• Experience integrating automated testing into CI/CD pipelines using GitHub Actions.
• Understanding of SDLC, STLC, Agile/Scrum, functional, integration, regression, system, and end-to-end testing.
• Experience with test strategy, risk-based testing, test planning, quality metrics, defect management, root cause analysis, and release validation.
• Strong analytical, debugging, problem-solving, communication, collaboration, and stakeholder management skills.
• Preferred experience with Informatica DQ, Databricks, Snowflake, data privacy regulations, data governance, monitoring and observability tools, distributed architectures, enterprise SaaS, or publishing platforms.
• ISTQB, data quality tool, AWS, or Azure Fundamentals certification is desirable.
• Familiarity with A/B testing frameworks and AI-driven Quality Engineering practices is desirable.
• Must have the right to work and live in India and be able to commute to the Bengaluru office.

Benefits

• Competitive salary and bonus.
• 24 days of annual leave.
• Four volunteering days annually and a day off for the employee’s birthday.
• Pension contributions, medical insurance for the employee and dependants, life cover, and personal accident cover.
• Seasonal social and charitable events.
• Training and development opportunities.
• Tools and equipment for remote working.
• Balanced hybrid working model with at least three days per week in person and flexibility to work from home or remotely otherwise.
• Flexible adjustments are available during the recruitment process for candidates who need them.