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Salary
$24k – $59k per year (Estimated)
Location
In office (Bengaluru, Gurgaon)
Seniority
Senior · 4+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. IQVIA creates intelligent connections across all aspects of healthcare through its analytics, transformative technology, big data resources and extensive domain expertise. IQVIA Connected Intelligence™ delivers powerful insights with speed and agility - enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients.

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.

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