5 - 10 Hyderabad Full-Time Job Summary We are looking for a skilled Big Data Engineer with strong experience in PySpark and data engineering. The ideal candidate will have hands-on experience in building scalable data pipelines, working with streaming data, and cloud platforms.

Experience with Palantir Foundry is highly preferred Experience Required: 5 – 10 years Key Responsibilities Design, develop, and maintain ETL/data pipelines using Python and PySpark

Work with real-time/streaming data systems

Build and optimize data processing solutions on cloud platforms

Collaborate with cross-functional teams to understand business requirements

Develop and maintain CI/CD pipelines

Ensure data quality, performance, and scalability Required Skills 5–10+ years of experience in Data Engineering

Robust expertise in Python and PySpark

Experience with Kafka, Flink, and Kubernetes

Hands-on with Big Data technologies (Hadoop, Spark, MongoDB)

Experience with cloud platforms (Azure, AWS, or GCP)

Good understanding of data architecture and pipeline design Preferred Skills Experience with Palantir Foundry

Knowledge of Java

Experience in consulting or Utilities domain Share with someone awesome View all job openings

📌 Big Data Engineer (Hyderabad)
🏢 Cognine Technologies
📍 Hyderabad