MI Data Analytics Delivery Manager

2 days ago

Bengaluru, India Prudential plc Full time

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed. ​​ Role and Responsibilities ​   Design, develop and deliver the building of data pipelines across various integration points for the global Financia Data Layer (FDL)  Create and maintain scalable data pipelines using Pyspark and ETL workflows using Azure Databricks and Azure Data Factory  Data Modelling and Architecture: Build and optimize data models and structures to support analytics and business requirements  Performance Optimization: Monitor, tune, and troubleshoot pipeline performance to ensure efficiency and reliability  Collaboration: Partner with business analysts and stakeholders to understand data needs and deliver actionable insights  Governance: Implement data governance practices, ensuring data quality, security, and compliance with regulations  Documentation: Develop and maintain comprehensive documentation for data pipelines and architecture  Testing: Experience in testing and test automation  Collaborate with cross-functional teams to understand data requirements and provide technical advice  Qualifications   Experience Level: Extensive experience in Azure Databricks, Unity Catalog, Azure Data Factory, Azure DevOps Delta Lakes, DevSecOps, NFRs (Non-Functional Requirements); experience in insurance domain desirable  Education Level: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science or a related relevant field; Certification in Azure Data Engineer Associate or similar, and experience with additional Azure services (e.g., Azure Synapse Analytics, Azure SQL Database)  Personal Attributes: Strong analytical skills, leadership capabilities, effective communication, and problem-solving ability  Mandatory skills   Strong background in data engineering, with experience architecting complex data systems in large-scale environments  Technical Skills: Proficiency in SQL, Azure Databricks (Spark, Delta Lake), Azure Data Factory, and programming languages such as Python or Scala. Communication: Strong problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders 

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