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Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 2, 2026. Merck Group scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Merck Group is a global science and technology company headquartered in Darmstadt, Germany. The company operates across three primary business sectors: Healthcare, Life Science, and Electronics, delivering innovative medicines, laboratory solutions, and advanced materials. Through its focus on research and technology, it advances medical treatments, supports biopharmaceutical production, and drives key innovations in semiconductor manufacturing worldwide.

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That`s why we are always looking for curious minds that see themselves imagining the unimageable with us.

Your role:

  • Data Pipeline & Architecture: Design, build, and deploy scalable data ingestion and transformation workflows.
  • SQL & Performance Optimization: Write, tune, and troubleshoot complex SQL queries, stored procedures, views, and Snowflake virtual warehouses for speed and cost efficiency.
  • Data Modeling: Design dimensional models, star/snowflake schemas, fact/dimension tables, and Slowly Changing Dimensions (SCD).
  • DevOps & CI/CD: Implement version control (Git/GitHub), CI/CD pipelines, state-based deployments, and dbt (data build tool) integrations.
  • Security & Governance: Ensure role-based access control (RBAC), data masking, encryption, and compliance best practices are applied.
  • Python: Backend service development, REST API integration, retry and error-handling mechanisms, data schema modelling and validation with Pydantic

    SQL and Snowflake: MERGE- and stream-based CDC pipelines, Tasks, stored procedures, Secure Views, Snowpipe and Snowpipe Streaming, Secure Data Sharing, RBAC, role and grant management, and warehouse performance tuning

    Terraform: Infrastructure as code for Snowflake databases, roles, grants, warehouses, and repeatable multi-environment deployments

  • AWS: Lambda-based event-driven ingestion, Amazon S3 data lake storage, AWS Glue Data Catalog, and IAM-based access controls

    Palantir Foundry: Workshop-based GUI development and backend workflow orchestration for data-request, approval, and provisioning processes

    Version Control and CI Engineering: Git-based development workflows, pre-commit hooks, Ruff-based linting and formatting, pull-request templates, review gates, and structured AI-assisted development workflows

    Data Modelling and Interchange Formats: JSON-based configuration and request schemas, and synchronisation of hierarchical and relational data models across systems

  • Platform and Domain Expertise

    Enterprise data provisioning: End-to-end ownership of data-request portals using Palantir Foundry Workshop, Foundry workflow orchestration, and Python backend services targeting Snowflake and AWS

    Data virtualisation and analytics integration: Output-port configuration, ownership and privilege logic, and hierarchical data-model synchronisation between source systems and downstream platforms

    Industrial and OT data integration: Event-driven ingestion of Aveva PI process-historian data using Lambda, Snowpipe, and Snowflake, with downstream delivery through Secure Data Shares

    Multi-stage approval workflows: Role-based approval lifecycles involving requesters, data stewards, data owners, engineering teams, and business verifiers

    Data access governance: Request and approval workflows, role-based access control, and self-service provisioning for business data owners

    Regulated-environment delivery: Dev-to-QA-to-production promotion workflows supporting validated and regulated, GxP-equivalent system requirements

Who you are:

  • Experience: Typically 3 to 5+ years of hands-on experience in data engineering or cloud data warehousing.
  • Core Technologies:
    • Snowflake Features: Virtual warehouses, clustering, micro-partitions, Time Travel, Streams & Tasks, Snowpipe, Dynamic Tables, and Snowflake Cortex (where applicable).
    • Programming & Scripting: Expert-level SQL and strong Python (Pandas, NumPy).
    • Transformation Tools: dbt (models, snapshots, tests, macros, Slim CI).
    • Cloud & Orchestration: Exposure to AWS, Azure, or GCP, plus tools like Apache Airflow.
  • Certifications: Preferred credentials often include SnowPro Core or advanced Snowflake certifications.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of our diverse team!

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