Job Description:
Experience: 5–8 years
Key Responsibilities:
- Build ETL/ELT pipelines using Databricks (PySpark)
- Write optimized SQL queries for data transformation and analysis
- Work with Delta Lake / Lakehouse architecture
- Perform data ingestion, cleansing, and validation
- Optimize query performance and data workflows
Skills Required:
- Databricks, Apache Spark
- Strong SQL expertise
- Python / PySpark
- Data modeling concepts
- Cloud platforms (Azure/AWS/GCP)
Good to Have:
- Azure Data Factory / Airflow
- Power BI / Tableau
- Databricks certification
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.












