Job Title:  Senior Data Engineer

Overview

AMETEK's Measurement, Communication & Testing (MCT) division is seeking a Senior Data Engineer to join its Data & AI Center of Excellence team. This role will deliver data engineering projects across MCT business units, own the day-to-day health of the division's Microsoft Fabric environment, and drive operational excellence so that delivered solutions consistently meet agreed quality, reliability, and service levels.

The Senior Data Engineer will build the data foundation that MCT's AI initiatives depend on, working independently to move priorities from requirements through production while collaborating closely with business stakeholders, BI analysts, and IT teams to turn enterprise and ERP data into trusted, reusable, AI-ready data products.

Responsibilities

Data Engineering Delivery

• Design, build, test, and deploy ETL/ELT pipelines that ingest data from ERP and business systems into Microsoft Fabric
• Implement and maintain a medallion architecture (Bronze, Silver, Gold) using Fabric Lakehouse and Warehouse
• Develop data transformations using PySpark notebooks, SQL, and Data Factory pipelines
• Build curated, governed datasets and Power BI semantic models that serve reporting, analytics, and AI use cases
• Prepare AI-ready data for solutions built on Azure AI Foundry, including agents, retrieval-augmented generation (RAG), and planning/control tower initiatives
• Translate business requirements into data models, source-to-target mappings, and technical designs

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