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Data Engineer | 5-8 YoE | Join a Fast-Growing HealthTech Startup in Pune
Data Engineer | 5-8 YoE | Join a Fast-Growing HealthTech Startup in PuneGeektrust • Pune, Maharashtra, India
Data Engineer | 5-8 YoE | Join a Fast-Growing HealthTech Startup in Pune

Data Engineer | 5-8 YoE | Join a Fast-Growing HealthTech Startup in Pune

Geektrust • Pune, Maharashtra, India
10 days ago
Job description

We’re hiring an experienced Data Engineer to design and build modern data pipelines that power advanced analytics, AI, and healthcare insights.

If you thrive in cloud-native environments and love transforming complex, multi-source data into meaningful intelligence — this role is for you.

⚙️ What You’ll Work On

  • Design and maintain scalable batch and streaming data pipelines using Google Cloud Dataflow, Datastream, and Airbyte
  • Develop and optimize ETL / ELT processes across AWS Postgres, Google FHIR Store, and BigQuery
  • Build unified data models integrating EHR / FHIR, claims, HL7, CRM, and transactional data
  • Implement transformations in dbt / OBT to create curated semantic layers for AI / BI pipelines
  • Ensure data quality, lineage, validation, and HIPAA compliance across all pipelines
  • Collaborate with AI / ML, BI, and product teams to deliver data-driven insights
  • Drive cost optimization and performance tuning for BigQuery and streaming systems
  • Contribute to architectural decisions and mentor junior engineers on best practices

What You Bring

  • Strong healthcare experience with claims and EHR data
  • Expert in SQL including complex joins, window functions, and advanced transformations
  • Proven skills in data modeling (star schema, snowflake)
  • Hands-on experience with GCP
  • Expertise in BigQuery partitioning, clustering, and cost optimization
  • Familiarity with Cloud Storage, Dataflow, and Datastream
  • Experience building scalable ETL / ELT pipelines, including batch and streaming, using tools like Dataflow, dbt, Datastream, Airflow / Composer
  • Proficiency with dbt for staging, fact, and marts layering; incremental models; partition and cluster strategies
  • Knowledge of data snapshotting techniques
  • Strong focus on data quality and governance : dbt tests (unique, not null, relationships), handling duplicates, schema drift, late-arriving data, and ensuring referential integrity
  • Ability to design modular and reusable data models
  • Version control experience (Git)
  • Security and compliance skills handling PHI / PII with column-level masking, tokenization, anonymization, and a basic understanding of HIPAA requirements
  • Familiarity with secure access patterns, IAM roles, and restricted permissions
  • Location : Pune (Work from Office)

    ☁️ Tech Stack : GCP, Dataflow, Datastream, BigQuery, Python, SQL, dbt

    Domain : HealthTech / Cloud Data Engineering

    Join a growing healthtech product team and help build the data backbone that powers AI, predictive analytics, and better patient outcomes.

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    Data Engineer • Pune, Maharashtra, India

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