Big Data Engineering

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Walk-in Date:

Joining:

Employment Type:

Job Summary:

Big Data Engineers

Key Responsibilities:

• Design, build, and maintain scalable 

  data pipelines

   and 

  processing frameworks

   using Spark and Hadoop
• Work on 

  distributed computing

   and orchestration using 

  Kubernetes

• Write efficient and modular 

  Python code

   for data transformation and automation
• Manage large-scale data ingestion, processing, and integration across structured and unstructured sources
• Collaborate with data scientists, platform teams, and product stakeholders to deliver reliable data solutions
• Proactively troubleshoot and optimize performance across the data ecosystem
• Take end-to-end ownership of assigned modules and contribute to continuous improvement

Required Skills & Qualifications:

• 2 to 6 years of experience in 

  Big Data engineering

• Strong hands-on experience with:

• Bigdata ecosystem

   (HDFS, S3, Iceberg, Hive, HBase, Oozie, Sqoop)

• Apache Spark

   (Batch and Streaming)

• Python

   programming for data engineering

• Kubernetes

   for deployment and orchestration of data workloads
• Solid understanding of 

  distributed systems

  , data partitioning, and optimization
• Good communication and collaborative skills

Preferred Qualifications:

• Exposure to 

  cloud platforms

   (Azure, AWS, or GCP) for data workloads
• Experience with workflow orchestration tools like 

  Airflow

   or 

  NiFi

• Familiarity with DevOps pipelines for data delivery (CI/CD)
• Contributions to open-source projects or certifications in Big Data technologies

Ideal Candidate Traits:

• Self-starter

   with a strong 

  learning mindset

• Takes 

  ownership

   and demonstrates 

  accountability

   in delivery
• Collaborative, proactive, and detail-oriented