Big Data Support Engineer

Role: Big Data Support Engineer

Location: Bangalore/ Chennai

Experience: 5+ years

Immediate Joiners Only

Job Description:

GDP Sourcing Support resource who will be responsible for managing support for Global Data Management platform. The candidate will be responsible for managing production support for sourcing of data in/out of Data Lake. The candidate will be responsible to partner with project team, product engineering team and business leads in ensuring the service levels are met and take end to end ownership of the Production support. The candidate will be responsible for acting on the functional/technical activities of assigned to him/co-staff including incident, problem, and change along with SLA management.

Qualifications

• Minimum of 5+ years of experience in a major services organization, with large-scale data or production/project management and oversight experience.
• 2+ years of experience in supporting solutions preferably in the big data world or managed similar roles

Desired Technical Skills

• Big Data & eco systems knowledge, distributed storage like MINIO, ADLS using S3, Iceberg tables
• Linux shell scripting
• Support the data loading using Spark engine, knowledge on Kubernetes, secrets management
• Data schedulers like Ariflow etc
• Maintaining and troubleshooting the Environment with dashboard and other tools like Grafana
• Manage desired alerts and monitoring dashboards from SRE perspective.
• Ability to work 24*7 shifts on need basis

a) Relationship Management

• Ability to manage senior relationships across all the Business and Functional areas
• Ability to develop cooperative and constructive working relationships
• Ability to handle complaints, settle disputes and resolve conflicts and negotiate with others
• Collaborative team player orientation towards work relationships, strong culture awareness

b) Production Support and Decision-making

• Highly developed skills in managing 24x7 production support comprising of Incident, Problem, Change management and other ITIL phases of production support
• Ability to break down complex problems and projects into manageable goals
• Ability to get to the heart of the problem and make sound and timely decisions to resolve problems
• High severity incident management and situation management skills
• Knowledge on ADO and SNOW workflow management

c) Development

• Ability to develop technical skills in coaching, mentoring, and teaching on the job to co-staff
• Effectiveness in building trust, respect, and cooperation among teams