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 highquality and costefficient 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 rootcause analysis and implement preventive measures.
  

Qualifications

Education

• Bachelors 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 handson with Databricks PySpark and Azure Data Engineering.
• 3 years handson 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 problemsolving 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

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.