
Big Data Engineering
1 day ago
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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