Tata Consultancy Services
Website:
tcs.com
Job details:
Walk in drive at 23 May 2026!!!!
Location
Chennai - Siruseri ATL,Tata Consultancy Services (TCS) Siruseri Campus is located at Plot No. 1/G1, SIPCOT IT Park, Navalur Post, Siruseri, Chennai, Tamil Nadu 603103
Bangalore- TCS, Think Campus 42, 45-P, Hosur Rd, Phase II, Konappana Agrahara,Bengaluru, Karnataka 560100
Pune- A1 Interview Bay, Plot No. 2 & 3, Phase 3, Rajiv Gandhi Infotech Park, Hinjewadi, Pune, Maharashtra, 411057
Job Title
Big Data Engineer – Hadoop Ecosystems
Experience
4 to 15 Years
Location
Chennai / Pune / Bangalore
Job Summary
We are looking for experienced Big Data Engineers with strong expertise in the Hadoop Ecosystem to design, develop, and support large-scale data processing and analytics platforms. The ideal candidate will have hands-on experience in building and optimizing data pipelines for batch and streaming workloads.
Key Responsibilities
- Design, develop, and maintain scalable Big Data solutions using Hadoop ecosystem technologies
- Build and enhance data ingestion and processing pipelines for structured and unstructured data
- Work extensively with HDFS, Hive, Spark, and YARN
- Develop high-performance batch and streaming applications
- Optimize performance of Hive/Spark jobs and storage formats
- Ensure data quality, reliability, and availability
- Collaborate with data scientists, analysts, and platform teams
- Monitor, troubleshoot, and resolve production issues
- Follow best practices for data security and governance
- Create technical documentation and support knowledge sharing
Mandatory Technical Skills
Hadoop & Big Data
- Hadoop Core: HDFS, YARN, MapReduce (conceptual understanding)
- Apache Spark (Core, SQL; Streaming preferred)
- Hive (query optimization, partitions, file formats)
Data Ingestion & Workflow
- Kafka / Sqoop / Flume
- Workflow orchestration tools: Oozie / Airflow
Programming & Querying
- Proficiency in Python / Scala / Java (at least one mandatory)
- Strong SQL skills
Data Storage
- HBase or other NoSQL databases
- Experience with data lakes and large datasets
Cloud & Platform (Good to Have)
- Hadoop on AWS EMR, Azure HDInsight, or Databricks
- Understanding of Docker and Kubernetes
- Exposure to CI/CD pipelines for data engineering
Qualifications
- Bachelor’s or Master’s degree in Computer Science, IT, or related field
- 3–10 years of hands-on experience in Big Data and Hadoop technologies
Soft Skills
- Strong analytical and problem-solving skills
- Ability to work in agile and cross-functional teams
- Good communication and documentation skills
Preferred / Nice to Have
- Real-time data processing experience
- Knowledge of data governance, security, and lineage
- Hadoop or cloud-related certifications
Click on Apply to know more.