hirly

cognine

Big Data Engineer

Hyderabad, India

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hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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
  • Strong 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
Original posting on cognine's site ↗

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