Data engineer | 5-8 yoe | join a fast-growing healthtech startup in pune

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 Big Query

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 Big Query 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 Big Query 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, Big Query, Python, SQL, dbt

Domain : Health Tech / Cloud Data Engineering

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