Participate actively in development/maintenance activities.
Ensure stability, performance, and reliability of big data systems.
Monitor and manage daily batch processes across the Hadoop ecosystem.
Collaborate with CIO leads to deliver development tasks and technical solutions.
Support during upgrades and new functionality implementations.
Proactively monitor Hadoop maintenance tasks, troubleshoot failed processes, and address issues as soon as possible.
Monitor system's health and performance.
Ensure high levels of performance, availability, sustainability, and security.
Refine and automate regular processes, track issues, and document changes.

4+ years of relevant experience, particularly in Hadoop and Unix environments
Hands-on experience with big data technologies such as Hive, PySpark, Impala
DBA experience with any NoSQL database like MongoDB
Good understanding of data architecture and Big Data platform
Accountable for the availability, stability, scalability, security, and recoverability enabled by the design
Good Knowledge of metadata management, data lineage, and principles of data governance
BE/BTech/MCA

competitive benefits to support their physical, emotional, and financial well-being
flexibility to our employees

Data Engineer I – GBS IND

Key skills