Data Pipeline Engineer
Moder (Moder Solutions LLC) (company site, opens in a new tab)9+ yrsBengaluruOn-siteDirect career pageEst. 22–34 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain data pipelines using Azure Data Factory and Azure Synapse.
- Develop and optimize data processing workflows with Python, specifically PySpark.
- Support AI/ML data integration and processing within the data platforms.
Minimum Requirements
- Minimum 9 years of relevant work experience in data engineering.
- Proficiency in Azure Data Factory (ADF), Azure Synapse, Python, and PySpark.
- Graduate degree required.
- Willingness to work from office in Bangalore with shift hours 3:30 PM to 12:30 AM IST.
Ideal Candidate Profile
- Expertise in building scalable, reliable data pipelines on Azure cloud technologies.
- Experience working with AI/ML data workflows enhancing data-driven applications.
- Senior-level professional comfortable with shift work and onsite presence in Bangalore.