Key Responsibilities

Pipeline Development: Assist in building and maintaining data integration solutions and ETL processes using Databricks and Apache Spark.Data Transformation: Write efficient SQL and Python scripts to extract, transform, and load data from various sources into data warehouses/data lakes.Support & Maintenance: Monitor existing workflows, identify performance bottlenecks, and assist in troubleshooting data quality issues.Testing & Quality: Perform unit testing and validation to ensure data integrity throughout the lifecycle.Collaboration: Work closely with senior developers and cross-functional teams to understand data requirements and deliver efficient solutions.Continuous Learning: Stay updated on Databricks features (Delta Lake, Unity Catalog) and industry best practices.

Required Qualifications:

Bachelor’s degree in computer science or equivalent.Minimum of 2-3 years of hands-on experience with Databricks.(Mandatory)Good knowledge of any ETL tool (e.g., Informatica, Talend, SSIS).(Mandatory)Well-versed in data warehousing and data lake concepts.Proficient in SQL and Python for data manipulation and analysis.Experience with cloud platforms (e.g., AWS, Azure, GCP)and their data services.Excellent problem-solving skills.Strong communication and collaboration skills.

Preferred Skills (Bonus)

Certifications: Databricks Certified Associate Developer for Apache Spark.Big Data Tech: Familiarity with Delta Lake features (ACID transactions, Time Travel)

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.