Big Data Engineering

3 weeks ago

Chennai, Tamil Nadu, India DataHonDo Pte. Ltd. Full time

 Location: Chennai

 Walk-in Date: 20th September 2025

 Joining: Immediate / Within 30 days

 Employment Type: Full-time / Contract (Open for both)

Job Summary:

We are hiring skilled and motivated Big Data Engineers with hands-on experience in SQL, Hadoop ecosystem, Spark, Python, and Kubernetes. The ideal candidates will demonstrate a strong learning attitude, willingness to own responsibilities, and the capability to contribute effectively in a fast-paced, agile environment.

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

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