Product Manager Databricks & Azure Data Factory
- UST
- 5 - 10 years
- Pune
- 23 days ago
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Job Description
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Roles & Responsibilities:
- Lead and manage end-to-end data pipeline projects leveraging Databricks and Azure Data Factory.
- Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders to gather requirements and deliver data products.
- Ensure proper unit testing and system testing of data pipelines to capture all files/transactions.
- Monitor and troubleshoot data ingestion processes, ensuring accuracy and completeness of the data.
- Facilitate Agile ceremonies (sprint planning, standups, retrospectives) and ensure the team adheres to Agile best practices.
- Define, prioritize, and manage product backlogs based on stakeholder inputs and data insights.
- Drive continuous improvement by evaluating emerging technologies and optimizing data integration workflows.
Must-Have Skills:
- Databricks Minimum 3 years of hands-on experience.
- Azure Data Factory Minimum 3 years of development and orchestration experience.
- CQL (Cassandra Query Language) Minimum 5 years of strong understanding and practical application.
- Strong verbal communication skills Ability to collaborate effectively with technical and non-technical teams.
- Deep understanding of the Agile development process.
Good-to-Have Skills:
- Experience in Azure Data Lake, Synapse Analytics, or Power BI.
- Familiarity with DevOps and CI/CD pipelines in Azure.
- Exposure to Data Governance and Data Quality frameworks.
- Experience with cloud security best practices related to data handling.
- Background in Business Intelligence (BI) and reporting systems.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Product Management
Role Category: Product Management - Technology
Role: Technical Product Manager
Employement Type: Full time
Contact Details:
Company: USTLocation(s): Pune
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Keyskills: Azure Data Factory Agile Methodology Unit Testing Framework Databricks Engineer Cassandra Query Language Azure Data Lake
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UST
As a vertically integrated company, Its designs, manufactures, distributes, and retails its eyewear brands through its own subsidiaries. It is the largest eyewear company in the world.
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