Data Analyst

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Bajaj Finserv

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
MySQL SQL Azure Databricks Microsoft Fabric Factory ETL

Job Description

Location Name: Pune Corporate Office - Cerebrum

Job Purpose

To drive data-led decision-making by leveraging data science and automation tools, with a focus on Microsoft Fabric and Azure Databricks. Designing and implementing ETL pipelines using SQL on Microsoft Fabric

Duties And Responsibilities

  •  Databricks Development: Build and manage Databricks notebooks using SQL
  •  ETL Development: Design and maintain data integration pipelines in Azure Data Factory and Microsoft fabric
  •  Database Proficiency: Strong knowledge of SQL and experience with relational databases like SQL Server, MySQL, etc.
  •  Cloud Platform Familiarity (Preferred): Exposure to Azure cloud services and architecture best practices.
  •  Create, implement and monitor home loan offers across multiple channels
  •  Methodical analysis of data and conversions of complex data into simple and readable format to enable business decisioning
  •  Build, deploy and maintain data pipelines for offer management
  •  Ensure data accuracy, quality and integrity across automated systems
  •  Ensure offers adhere to Risk policies and audit requirements


Key Decisions / Dimensions

  •  Making critical decisions during production issues, including root cause analysis, quick fixes, and long-term resolutions.
  •  Prioritizing and escalating support tasks effectively to minimize downtime and business impact.


Major Challenges

  •  Translate business requirements into technical solutions
  •  Own end-to-end offer management, ensuring on-time execution and adherence to quality standards.
  •  Develop and maintain robust ETL pipelines and data integration modules across systems.
  •  Monitor and resolve performance bottlenecks in data workflows and programs.
  •  Establish best practices, standard operating procedures, and drive their implementation across teams.
  •  Coordinate with internal teams to troubleshoot and resolve issues efficiently.
  •  Manage workload through effective planning, prioritization, and progress tracking.


Educational Qualifications

Required Qualifications and Experience

  • Graduate or Post?Graduate in Computer Science, Information Technology, or Data Science/Technologies.


Work Experience

  • 0.5–1 year of hands?on data engineering experience.
  •  Technical Expertise / Skills Keywords:


Azure Databricks - SQL - Must Have

  •  Azure Data Factory – For ETL & Data Integrations - Must Have

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