Fabric Environment Ownership
Maintain the MCT Fabric environment, including workspaces, Lakehouses, Warehouses, pipelines, and semantic models
Manage source control and CI/CD using Git and Azure DevOps across development, test, and production
Apply standards for naming, workspace structure, access, security, and data quality
Monitor capacity usage and performance and recommend optimizations
Operational Excellence
Work independently with limited day-to-day direction, proactively manage priorities, and escalate risks or decisions when needed
Monitor pipelines and data refreshes against agreed SLAs; triage and resolve incidents and data quality issues
Perform root cause analysis and implement preventive fixes
Maintain runbooks, technical documentation, and support handoff materials for delivered solutions
Build reusable templates, frameworks, and patterns that can be shared across MCT business units
Provide overlap with U.S. Central Time business hours for collaboration and issue resolution
Success Criteria
Data engineering projects delivered on time and to agreed scope and quality
A stable, well-governed Fabric environment with reliable pipelines that meet SLAs
A trusted medallion data foundation that accelerates MCT AI and analytics projects
Reusable, documented patterns adopted across multiple business units
Clear communication of progress, risks, and issues to technical and nontechnical stakeholders
Required Qualifications
Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field
5–8 years of hands-on data engineering experience, with ownership of production pipelines end to end
Strong understanding and execution of ETL/ELT concepts, data modeling, and data warehousing
Hands-on experience with Microsoft Fabric or closely related Azure data services (Data Factory, Synapse, Databricks)
Advanced SQL and Python/PySpark skills
Exposure to at least one modern cloud platform: Azure, AWS, or GCP
Experience with Git-based source control and CI/CD practices
Experience monitoring and supporting production data workloads
Strong written and verbal communication skills in English
Demonstrated ability to work independently, make sound technical decisions, and drive work from requirements through production
Ability to work onsite in Bangalore, India
Preferred Qualifications
Experience designing and implementing medallion (Bronze/Silver/Gold) architecture
Experience with Azure AI Foundry or preparing data for AI/ML and generative AI solutions
Experience with ERP data, especially Oracle, Salesforce, or SAP S/4HANA
Power BI semantic modeling and DAX
Microsoft certification such as DP-600 (Fabric Analytics Engineer) or DP-700 (Fabric Data Engineer)
Experience in a Center of Excellence or shared-services model supporting multiple business units
Background in industrial, manufacturing, or B2B environments
What You Will Gain
Ownership of the data foundation for a divisional AI program with visible business impact
Hands-on work with Microsoft Fabric and Azure AI Foundry
Close collaboration with U.S. AI and technology leadership
Career growth toward Lead Data Engineer, Data Architect, and technical leadership roles
Compensation
Currency
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Salary Minimum
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Salary Maximum
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Incentive
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Disclaimer: Where a specific pay range is noted, it is a good faith estimate at the time of this posting. The actual salary offered will be based on experience, skills, qualifications, market / business considerations, and geographic location.
AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.5 billion.
AMETEK is committed to making a safer, sustainable, and more productive world a reality. We use differentiated technology solutions to solve our customers’ most complex challenges. We employ 22,000 colleagues, in 35 countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK is a component of the S&P 500. Visit https://www.ametek.com/careers for more information.
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