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Taglynk
Senior Data Engineer(Healthcare Startup)
Taglynk
Mumbai•On-site•7-10 Yrs•Jun 29
Job description
Overview
As a Senior Data Engineer, you will not be starting from scratch—ingestion, warehousing, terminology pipelines, and analytics are already live in production.
Responsibilities
- Pipeline Development & Scale: Design, build, and operate end-to-end ETL/ELT production pipelines ingesting from product systems, EMRs, partner APIs, and event streams.
- Data Modeling & Optimization: Own schema design, partitioning, indexing, and query performance across analytical workloads. Translate clinical and business questions into performant, self-serve datasets.
- Infrastructure & Operations: Evolve the platform for throughput, freshness, cost management, and schema evolution. Instrument pipelines with robust monitoring, alerting, and data-quality checks.
- Governance & Security: Implement data classification, retention policies, access controls, and data lineage. Bake security and compliance into the fabric of the platform.
- Collaboration: Partner closely with Product, ML, and Clinical teams. Mentor peers through code reviews, technical design documents, and collaborative debugging.
Qualifications
- Languages: Production-shipping proficiency in Python and SQL.
- Analytical Engines: Deep hands-on expertise with at least one columnar engine—Snowflake, GCP (BigQuery), Redshift, or ClickHouse.
- Data Transformation & Testing: Strong experience with dbt (including database testing and verification frameworks).
- Orchestration & Streaming: Production experience operating orchestration tools like Airflow (or Dagster) alongside event-driven streaming architectures like Kafka, GCP Pub/Sub, or Kinesis.
- DevOps: Hands-on experience building and maintaining CI/CD pipelines for automated data deployments.
- Engineering Mindset: A clear pattern of bringing solutions forward (design docs, migrations led). Comfortable inheriting, improving, and scaling existing systems rather than demanding a rewrite.
- Background in Healthtech utilizing FHIR R4, clinical terminologies (SNOMED CT, LOINC, ICD-10), and compliance frameworks (HIPAA, SOC 2).
- Why Join This Journey?
- This is an expert-level role for an engineer who walks in with solutions and thrives on high autonomy and low supervision. You will have a direct impact on building a trustworthy data backbone that powers real-time analytics, machine learning, and consumer-facing products.
- To Apply: Please submit your resume through Taglynk highlighting your direct experience with production-scale Python, Airflow, and Cloud Data Warehouses.