Senior Data Engineer
AMETEK, Inc. (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 14–22 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Deliver end-to-end data engineering projects, turning ERP and business-system data into governed, reusable datasets for reporting, analytics, and AI.
- Own the day-to-day health of MCT’s Microsoft Fabric environment, including deployment practices, security and standards, performance, and pipeline reliability against SLAs.
- Build and document reusable data patterns across business units; prepare AI-ready data and resolve production incidents through root-cause analysis and preventive fixes.
Minimum Requirements
- Work Experience Required: 5–8 years of hands-on data engineering, including end-to-end ownership of production pipelines.
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field.
- Advanced SQL and Python/PySpark; hands-on Microsoft Fabric or closely related Azure data services; exposure to Azure, AWS, or GCP; Git-based source control/CI/CD and production workload monitoring.
- Must be able to work onsite in Bangalore and provide overlap with U.S. Central Time business hours; strong written and verbal English communication is required.
Ideal Candidate Profile
- Has delivered production ETL/ELT and data warehouse solutions, ideally using Fabric medallion architecture and Power BI semantic models.
- Can independently translate business requirements into technical designs and take solutions through production support, reliability improvements, and documentation.
- Experience preparing data for AI/ML or generative AI, working with ERP data, or supporting multiple business units in a Center of Excellence would strengthen fit.