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Principal Consultant – Support Data Engineer

Principal Consultant – Support Data Engineer

Genpactbangalore, India
5 hours ago
Job description

Genpact (NYSE : G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Principal Consultant – Support Data Engineer

In this role, you would be responsible for enhancing the software development lifecycle and infrastructure management. You will be leveraging cutting-edge technologies to deliver high-quality solutions.

Responsibilities :

  • Prioritize and resolve Business-As-Usual (BAU) support queries within agreed Service Level Agreements (SLA) while ensuring application stability.
  • Drive engineering delivery to reduce technical debt across the production environment, collaborating with development and infrastructure teams
  • Perform technical analysis of the production platform to identify and address performance and resiliency issues
  • Participate in the Software Development Lifecycle (SDLC) to improve production standards and controls
  • Build and maintain the support knowledge database, updating the application runbook with known tasks and managing event monitoring
  • Create health check monitors, dashboards, synthetic transactions and alerts to increase monitoring and observability of systems at scale.
  • Participate in on-call rotation supporting application release validation, alert response, and incident management
  • Collaborate with development, product, and customer success teams to identify and resolve technical problems.
  • Research and implement recommendations from post-mortem analyses for continuous improvement.
  • Document issue details and solutions in our ticketing system (JIRA and ServiceNow)
  • Assist in creating and maintaining technical documentation, runbooks, and knowledge base articles
  • Navigate a complex system, requiring deep troubleshooting / debugging skills and an ability to manage multiple contexts efficiently.
  • Oversee the collection, storage, and maintenance of production data, ensuring its accuracy and availability for analysis.
  • Monitor data pipelines and production systems to ensure smooth operation and quickly address any issues that arise.
  • Implement and maintain data quality standards, conducting regular checks to ensure data integrity.
  • Identify and resolve technical issues related to data processing and production systems.
  • Work closely with data engineers, analysts, and other stakeholders to optimize data workflows and improve production efficiency.
  • Contribute to continuous improvement initiatives by analyzing data to identify areas for process optimization.

Qualifications we seek in you :

Minimum Qualification :

  • Bachelor's degree in Computer Science, Engineering, Mathematics or related discipline or its foreign equivalent
  • Experience with data production support, or incident handling, including basic understanding and ability to troubleshoot issues across multiple platforms including AWS, back-end services and databases.
  • Enthusiasm for working with data, especially large sets of data. Strong aesthetics for cleanliness and correctness in data
  • Ability to meet deadlines and work well under pressure in a fast-paced team environment.
  • Experience supporting production environments, including building dashboards, setting up alerts, and using monitoring tools (e.g., DataDog, AWS CloudWatch).
  • Excellent communication and interpersonal skills for effective collaboration with diverse teams.
  • Strong experience in applying technical solutions to improve production environment stability
  • Good understanding of ITIL Service Management framework (incident, problem, change management) and disaster recovery methodologies
  • Proficient experience providing Level 2 (L2) and Level 3 (L3) support, ideally in a banking environment
  • Proficient in SQL scripting, SQL Server, SSIS, SSRS, Talend
  • Experience with public cloud infrastructure (e.g., AWS and knowledge of Site Reliability Engineering (SRE) / DevOps practices
  • Preferred Qualification :

  • Passionate about technology, problem solving, ability to adapt new skills, sharing expertise and knowledge
  • Excellent client facing skills that include conducting compelling technical briefing & demonstrations. The person should have a technical curiosity to implement new technologies and articulate the solutions to the client
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