Python__Data Engineering
Cognizant
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Job Description
•
Data Pipeline Development
- Build and maintain ETL/ELT pipelines using Python
- Ingest data from multiple sources (APIs, databases, files, streaming systems)
- Optimize pipelines for performance and scalability
- a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Clean, transform, and validate raw datasets
- Handle structured and unstructured dataUse frameworks like:
- Pandas
- PySpark
- Dask
- Database & Data Warehousing
- SQL (PostgreSQL, MySQL, SQL Server)
- NoSQL (MongoDB, Cassandra)
- Design schemas and optimize queries
• Build data warehouses using:
- Snowflake
- Redshift
- BigQuery
- Big Data Technologies
- Apache Spark
- Hadoop
- Process large-scale datasets efficiently
- Workflow Orchestration
- Apache Airflow
- Cloud Platforms
• Work on cloud environments:
- AWS (S3, Glue, Lambda, EMR)
- Azure (Data Factory, Synapse)
- GCP (Dataflow, BigQuery)
- Data Quality & Monitoring
- Implement data validation checks
- Monitor pipeline failures and fix bugs
- Ensure data reliability and integrity
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.
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