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