Manager at KPMG Global Services

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Service Management, DevOps Automation, CI/CD Tools, Scripting Languages, Infrastructure as Code, Agile/Scrum, Stakeholder Management, Data Governance, Monitoring Tools, Data Engineering, ETL/ELT, Change Management, Incident Management, Problem Management, Continuous Improvement, Access Controls

Industry

Business Consulting and Services

Description

Key Responsibilities Service Leadership Own the end-to-end data engineering service lifecycle, ensuring high availability, reliability, and performance. Define and enforce SLAs, KPIs, and service health metrics for data engineering operations. Lead incident, problem, and change management processes aligned with ITIL best practices. Act as the primary escalation point for service issues and communicate effectively with stakeholders. Maintain service documentation, runbooks, and operational standards. Develop DevOps Automation, behaviours and practices Design and implement CI/CD pipelines for data engineering workflows (ETL/ELT, streaming, batch jobs). Automate deployment processes for data pipelines and related components. Manage version control, release management, and environment consistency. Integrate automated testing, monitoring, and alerting into data engineering workflows. Champion Infrastructure as Code (IaC) for provisioning and managing environments. Develop and enforce Governance & Compliance Ensure adherence to data governance, security, and compliance standards. Implement robust access controls and auditing for data engineering services. Drive Continuous Improvement Drive adoption of DevOps best practices within data engineering teams. Identify opportunities for automation and operational efficiency. Collaborate with engineering and architecture teams to improve delivery speed and reliability. Required Qualifications Strong experience in service management (ITIL or similar frameworks). Proven track record in DevOps automation for data engineering (Databricks) or software delivery. Expertise in CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, or similar). Proficiency in scripting languages (SQL, Python, PowerShell, Bash) for automation. Familiarity with Infrastructure as Code (Terraform, ARM templates, or similar). Experience working in Agile/Scrum environments. Excellent stakeholder management and communication skills. Preferred Skills Experience in managing enterprise-scale data engineering services. Certifications in ITIL, DevOps, or cloud technologies. Knowledge of monitoring and observability tools Familiarity with Microsoft Fabric and evolving Power BI ecosystem. Exposure to data governance, metadata management, and data cataloging tools.

Responsibilities

The Manager will own the end-to-end data engineering service lifecycle, ensuring high availability and performance while leading incident and change management processes. They will also develop DevOps automation practices and enforce governance and compliance standards.