Sr. QA Engineer- ETL / Database

Were hiring a Senior QA Engineer who can own test automation across data/ETL pipelines, APIs, and web frontends. Youll 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:

• Bachelors 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.