Job Description:
Build and manage scalable data pipelines using Databricks and support Data Fabric architecture for seamless data integration.
Experience: 5–8 years
Key Responsibilities:
- Develop ETL/ELT pipelines using Databricks (PySpark)
- Design Data Fabric solutions for unified data access
- Implement Delta Lake / Lakehouse architecture
- Handle batch & real-time data processing
- Ensure data quality, governance, and performance
Skills Required:
- Databricks, Spark, Python, SQL
- Data Fabric concepts (integration, governance)
- Cloud: Azure/AWS/GCP (Azure preferred)
- Delta Lake, Data Modeling
- Tools: ADF / Airflow
Good to Have:
- Microsoft Fabric, Kafka/Event Hubs
- Databricks / Azure certifications
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.
