DataHonDo Pte. Ltd.

📍 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