Description

Lead the design and management of large-scale data processing systems and distributed enterprise applications.

This role is on-site.

Responsibilities

• Design and implement Big Data software products, including data models and visualizations.
• Develop and manage data processing jobs to transform raw data into usable formats.
• Assess customer needs through structured requirements gathering, analysis, and documentation.
• Manage project priorities, advise on technical options, and mitigate risks and costs.
• Ensure data security and compliance with industry standards while delivering solutions against tight deadlines.

Required Skills

• 7+ years of experience designing and developing enterprise application solutions for distributed systems.
• Deep understanding of the Hadoop Ecosystem, including Sqoop, Hive, Pig, and Flume.
• Hands-on experience with Hadoop, HDFS, and cluster management.
• Proficiency with MapReduce, HBase, and Talend.
• Experience working with NoSQL databases and managing large datasets exceeding traditional database capacities.
• Any Graduate degree.

Preferred Skills

• Experience with Apache Spark or other streaming Big Data processing frameworks.
• Proficiency in Java or related Big Data technologies.

Key Skills

Education

Any Graduate