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.
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