Senior Databricks and Snowflake Developer

IQVIA

Bengaluru

On-site

INR 2,800,000 - 4,200,000

Full time

6 days ago
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Job summary

IQVIA in Bengaluru is seeking a Senior Developer for Snowflake and Databricks to design, develop, and optimize large-scale data pipelines across Databricks and Snowflake platforms. You will collaborate with data engineers, analysts, architects, and stakeholders to deliver scalable, cost-efficient cloud data solutions.

The role requires strong PySpark, Delta Lake, Snowflake SQL, and Azure Data Engineering experience, and offers opportunities to contribute to analytics and enterprise data

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • 4+ years of experience in data engineering or big data development.
  • 3+ years hands-on with Databricks, PySpark, and Azure Data Engineering.
  • 3+ years hands-on with Snowflake, Snowflake SQL, and ELT development. (Databricks components)
  • Strong hands-on experience with Databricks, PySpark, Delta Lake, Spark SQL.
  • Experience with ADF, Synapse, and ADLS integrations.
  • Snowflake expertise with Snowflake SQL, performance tuning, and warehousing.
  • Experience with Snowpipe, Streams, Tasks, and orchestration via ADF/Synapse.
  • Knowledge of RBAC, masking policies, and security best practices.
  • CI/CD (Azure DevOps/GitHub Actions) and Git workflows.

Responsibilities

  • Develop, optimize, and maintain Databricks Notebooks, Workflows, and Jobs.
  • Build scalable PySpark applications and data transformations.
  • Implement and manage Delta Lake tables with schema evolution and performance tuning.
  • Develop Snowflake SQL with complex joins, window functions, and CTEs.
  • Build Snowflake pipelines using Stages, File Formats, COPY, and Snowpipe.
  • Design data pipelines integrating Databricks, Snowflake, and Azure Data Factory.
  • Collaborate with stakeholders to gather data requirements and ensure governance.
  • Troubleshoot Databricks jobs, Spark, and ADF pipelines.

Skills

Analytical thinking
Communication
Agile teamwork
Stakeholder management

Education

Bachelor's degree in Computer Science, IT, or related field

Tools

Databricks
PySpark
Delta Lake
Snowflake SQL
Azure Data Factory
Synapse
ADLS

Job description

Senior Developer, Snowflake & Databricks Databricks & Snowflake Developer – Job Description Job Summary: We are seeking an experienced Databricks & Snowflake Developer with strong expertise in PySpark, Delta Lake, Snowflake SQL, and Azure Data Engineering services . The ideal candidate will design, develop, and optimize large-scale data pipelines across both Databricks and Snowflake platforms to support analytics, reporting, and enterprise data initiatives. This role requires close collaboration with data engineers, analysts, architects, and business stakeholders to deliver scalable, high‑quality, and cost‑efficient cloud data solutions.

Key Responsibilities
  • 1. Databricks Development Develop, optimize, and maintain Databricks Notebooks, Workflows, and Jobs.

    Build scalable PySpark applications and data transformations.

    Implement and manage Delta Lake tables, including schema evolution and performance tuning.

    Use Git-based version control for notebook and code management.

  • 2. Snowflake Development Develop and optimize Snowflake SQL, including complex joins, window functions, and CTEs.

    Build and manage Snowflake pipelines using Stages, File Formats, COPY, and Snow pipe.

    Implement Streams, Tasks, Materialized Views for automated ELT workflows.

    Manage Snowflake performance tuning, virtual warehouse optimization, and cost governance.

  • 3. Data Pipeline & ETL/ELT Engineering Design and build data pipelines integrating Databricks, Snowflake, and Azure Data Factory.

    Implement ETL/ELT flows using Spark, SQL, Snowflake pipelines, and ADF/Synapse.

    Optimize pipelines for scalability, performance, and cost efficiency.

  • 4. Data Integration Integrate data from relational databases, APIs, file systems, and cloud platforms into Databricks and Snowflake.

    Ensure alignment with enterprise data architecture and modeling standards.

  • 5. Documentation & Compliance Document all pipelines, workflows, data models, and architecture across Databricks and Snowflake.

    Ensure compliance with governance, security, and regulatory standards.

  • 6. Collaboration Work with business stakeholders to gather data requirements and convert them into technical solutions.

    Support BI, analytics, and downstream consumers across both platforms.

  • 7. Troubleshooting & Support Debug Databricks issues including notebook failures, Spark job errors, and ADF pipeline failures.

    Troubleshoot Snowflake execution errors, warehouse performance problems, and ingestion failures.

    Perform root‑cause analysis and implement preventive measures.

Qualifications
Education

Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).

Experience

4+ years of experience in data engineering or big data development.

3+ years hands‑on with Databricks, PySpark, and Azure Data Engineering.

3+ years hands‑on with Snowflake, Snowflake SQL, and ELT development. (Databricks components)

Technical Skills
  • Databricks Strong hands‑on experience with Databricks, PySpark, Delta Lake, Spark SQL.
  • Experience with ADF, Synapse, and ADLS integrations.
  • Snowflake Expert in Snowflake SQL, performance tuning, and warehousing.
  • Experience with Snowpipe, Streams, Tasks, and orchestration via ADF/Synapse.
  • Knowledge of RBAC, masking policies, and security best practices.
  • General Strong understanding of data warehousing concepts and cloud data architecture.
  • Familiarity with CI/CD (Azure DevOps/GitHub Actions) and Git workflows.
Soft Skills
  • Strong analytical and problem‑solving abilities.
  • Excellent communication and stakeholder management.
  • Ability to work independently and collaboratively in agile teams.
Company Culture

Our company values innovation, teamwork, and continuous learning. We encourage creativity and provide opportunities for professional growth. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

Experience Level

Senior Level

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