**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 + Clean, transform, and validate raw datasets + Handle structured and unstructured data **Use 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 Cognizant is an equal prospect employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

📌 Python__Data Engineering (Gurugram)
🏢 Cognizant
📍 Gurugram