Location: Hyderabad, Chennai

Notice Period: 30 days or Immediate Joiner

Role & responsibilities

- Design, develop, and deploy scalable big data solutions using Hadoop ecosystem technologies.
- Build and optimize data processing workflows for large-scale data analytics.
- Develop applications and automation scripts using Python or Scala.
- Integrate and manage data ingestion and transformation tools such as HDFS, Hive, Sqoop, Oozie, and Kafka.
- Monitor, maintain, and tune Hadoop clusters to ensure performance, stability, and scalability.
- Troubleshoot big data infrastructure issues and ensure high availability of systems.
- Collaborate with data engineers, analysts, and business stakeholders to deliver data-driven solutions.
- Ensure data quality, governance, security,



and compliance across distributed environments.
- Conduct code reviews and provide technical guidance to junior team members.
- Participate in Agile development activities including sprint planning, reviews, and release cycles.
- Prepare and maintain technical documentation, best practices, and process guidelines.

Mandatory Skills:

- Big Data Hadoop Ecosystem

Technical Skills

- Hadoop (HDFS, Hive, MapReduce)
- Sqoop
- Oozie
- Kafka
- Python or Scala
- Data Processing & ETL Frameworks
- Distributed Computing Concepts
- Hadoop Cluster Administration & Performance Tuning
- Data Governance and Security

📌 Data Engineer (Telangana)
🏢 LTM
📍 Telangana