Sr. QA Engineer

We're hiring a Senior QA Engineer who can own test automation across data/ETL pipelines, APIs, and web frontends. You'll design robust QA strategies, build CI/CD-native test suites, drive performance/load testing, and turn system requirements into executable, measurable test plans.

What will you do:

• 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.

Must-have skills:

• 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.

Nice-to-have

• 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.

Tools you might use here:

• 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

Qualifications:

• 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.