Sr . QA Engineer

• ETL/Data Quality Automation

• Design and automate tests for ingestion, transformation, and loading (schema checks, constraints, null/dup checks, reconciliation, row/column-level validation, business rule assertions).

• Implement data contract and data lineage test coverage; ensure CDC/merge logic and dedup rules are verified.

• Add data checks to orchestration (e.g., Airflow/Prefect/Cloud Composer) and block bad data from promotion.

• API Frontend Test Automation

• Build end-to-end, integration, contract, and regression suites for REST/GraphQL services.

• Create UI automation for critical user journeys; stabilize flaky tests with good wait/retry design.

• Performance/Load Testing

• Establish load, stress, soak, and breakpoint tests for APIs and web apps; define SLAs/SLOs and capacity baselines.

• Automate performance tests in CI and publish trend dashboards.

• CI/CD Quality Gates

• Integrate tests into CI/CD (pre-merge, nightly, release) with quality gates, artifacting, and environment provisioning.

• Build disposable test environments using containers and IaC; seed synthetic datasets for deterministic runs.

• Test Strategy Documentation

• Turn PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices.

• Champion shift-left, code reviews for testability, and quality as code.

• Monitoring Incident Support

• Instrument quality KPIs; collaborate on root-cause analysis; prevent regressions with guardrail tests.

• ETL/Data QA: Strong experience validating data pipelines/warehouses (e.g., BigQuery / Snowflake / Redshift / PostgreSQL) , reconciliation at scale, partitioning/windowing awareness, and SQL proficiency.

• Automation: Hands-on with Python/TypeScript/Java for test frameworks; solid patterns (fixtures, page objects, data builders).

• API Testing: Postman/Newman, REST Assured, Pact or equivalent for contract testing.

• UI Testing: Playwright or Cypress (preferred) for stable, parallelizable suites.

• Performance Testing: k6 / JMeter / Locust; interpreting p95/p99, throughput, saturation; correlation with APM metrics.

• CI/CD: GitHub Actions / GitLab CI / Jenkins; branching, artifacts, caching, matrix builds; gating policies.

• Data Testing Frameworks: Great Expectations / Soda Core / dbt tests; schema diffs, expectations as code.

• Cloud Containers: Docker; working knowledge of Kubernetes-based ephemeral test envs.

• Observability: Using Prometheus/Grafana/New Relic/Datadog to tie test results to runtime telemetry.

• Orchestrators (Airflow/Prefect), CDC tools (Debezium), ELT (Airbyte/Fivetran), transformation (dbt/Spark/Dataflow).

• IaC (Terraform), secrets management, feature flags.

• Security testing exposure (OWASP ZAP, SAST/DAST), basic vuln triage.

• Experience with data privacy and compliance test considerations.

• Experience building synthetic data generators and golden datasets.

• Data/ETL: SQL, dbt, Great Expectations/Soda, Airflow/Prefect

• API/UI: Playwright/Cypress, Postman/Newman, REST Assured, Pact

• Performance: k6, JMeter, Locust

• CI/CD: GitHub Actions/GitLab CI/Jenkins, Docker, Terraform

• Analytics/Stores: BigQuery / Snowflake / Redshift / PostgreSQL

• Observability: Prometheus, Grafana, Datadog/New Relic

• Bachelor s in CS/IT or equivalent experience.

• 6+ years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing.

• Proven experience integrating tests into CI/CD and scaling suites for speed and reliability.

• Excellent communication; comfortable driving quality across engineering, data, and product teams.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.