Senior Data Platform Specialist

1 week ago

Vellore, Tamil Nadu, India beBeeData Full time US$ 1,80,000 - US$ 2,00,000

Job Title:

">Data Platform Engineering Opportunity

We are seeking a seasoned Data Platform Engineer to join our team and lead the design, implementation, and operation of production-grade data pipelines.

The ideal candidate will possess strong technical leadership skills, experience with cloud-based infrastructure, and expertise in data integration, workflow orchestration, and API development.

  • Technical Leadership & Delivery
    • Lead a squad or workstream; scope milestones; manage dependencies and risks; unblock engineers; communicate status to stakeholders
  • Architecture & Direction
    • Define target states and data contracts; make build/buy calls; author RFCs; drive cost/performance guardrails and reliability patterns
  • Data Pipelines
    • Design, build, and operate reliable batch and change-driven pipelines; schedule/orchestrate jobs; handle schema evolution and failures gracefully
  • Transformations & Modeling
    • Implement clean, tested merge/transformation pipelines; produce models that are easy to consume for products and analytics; tune SQL for performance
  • APIs & Integration
    • Build or collaborate on APIs for data access/updates; design request/response contracts; handle auth (OAuth2/OIDC/JWT), idempotency, validation, and auditing
  • Infrastructure & DevOps
    • Provision/manage cloud resources with Terraform; automate build/test/deploy with CI/CD; write solid shell scripts for glue/ops tasks
  • Observability & Reliability
    • Instrument logs/metrics/traces; define SLOs and on-call runbooks; lead incident reviews and drive root-cause prevention
  • Security & Compliance
    • Apply least-privilege access, secrets management, and encryption in transit/at rest; partner on compliance requirements
  • Quality & Standards
    • Champion unit/integration/data-quality tests (including SQL); enforce code health via reviews, linters, and CI checks
  • Collaboration & Docs
    • Operate async-first; produce concise docs (data contracts, mappings, runbooks, RFCs); collaborate closely with product/engineering/analytics across time zones

Required Skills and Qualifications:

  • Strong SQL (tuning, indexing, query plans) and solid RDBMS fundamentals (e.g., Postgres, SQL Server, MySQL)
  • Python for data work and services; comfortable with shell scripting (bash preferred; Powershell acceptable)
  • Terraform and IaC fundamentals; CI/CD experience (version control workflows, automated tests, environment promotion)
  • Cloud: Azure preferred (storage, compute, identity, monitoring). If not Azure, very strong AWS background
  • Data integration: Ingestion (batch + change-driven), orchestration, schema/versioning, resilient retries/replays
  • Workflow orchestration: Prefect preferred (flows/deployments, retries/backoff, scheduling, observability); Airflow/Dagster also acceptable
  • APIs & auth: REST patterns, pagination, validation, rate limiting, OAuth2/OIDC/JWT
  • Observability: Logs/metrics/traces and actionable alerts/dashboards
  • Testing mindset: Habit of writing tests for code and SQL; fixtures/test data; CI
  • Communication: Clear written/verbal comms; practiced cross-timezone collaboration
  • AI tooling: Ready to use Claude Code (and similar assistants) to accelerate work—while exercising judgment and writing your own code/tests

What We're Looking For:

  • Resume/CV highlighting data engineering, DevOps/IaC, and/or API/auth work
  • Brief note (one paragraph) about a recent pipeline/service: requirements, your role, tech, validation/tests, deployment/ops, outcome
  • Links to code samples or design docs (if available/shareable)

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