Senior Software Engineer

0 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Location Name:

Pune Corporate Office - Mantri

Job Purpose

To effectively design, develop, and manage data solutions and insights using Power BI, Azure Databricks, and Azure Data Factory technologies.

Duties And Responsibilities

  •  Translate business requirements into technical solutions in collaboration with the PMO team.
  •  Own end-to-end delivery of data projects, ensuring on-time execution and adherence to quality standards.
  •  Design technical architecture and guide development efforts for enhancements and new projects.
  •  Develop and maintain robust ETL pipelines and data integration modules across systems.
  •  Ensure high data quality, platform stability, and resolution of critical process issues.
  •  Monitor and resolve performance bottlenecks in data workflows and programs.
  •  Establish best practices, standard operating procedures, and drive their implementation across teams.
  •  Act as a liaison with business users and product managers to support daily data needs and strategic initiatives.
  •  Coordinate with internal and external development teams to troubleshoot and resolve issues efficiently.
  •  Manage workload through effective planning, prioritization, and progress tracking.|Report Development: Design and create Power BI reports that deliver meaningful insights to enhance the business portfolio.
Databricks Development: Build and manage Databricks notebooks using SQL and PySpark within a reusable and scalable framework.ETL Development: Design, develop, and maintain data integration pipelines using Azure Data Factory.Database Proficiency: Demonstrated expertise in SQL and hands-on experience with relational databases such as SQL Server, MySQL, etc.CI/CD & Release Management: Leverage Azure DevOps pipelines for code versioning, automated testing, and deployment.Cloud Platform Familiarity (Preferred): Exposure to Azure cloud services and understanding of cloud architecture best practices.

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.
  •  Driving decisions around technical design, architecture, and optimization to ensure performance, scalability, and maintainability of solutions.

Major Challenges

  •  Balancing development timelines with on-time delivery in a dynamic and evolving technical environment.
  •  Coordinating with multiple internal and external stakeholders to align priorities, resolve dependencies, and ensure smooth execution.
  •  Ensuring code quality, data integrity, and performance while scaling data solutions across diverse systems and platforms.

Required Qualifications And Experience

Required Skills & Experience –
  •  Visualization Tool – Power BI – Must Have
  •  Azure Databricks - PySpark, SQ - Must Have
  •  Azure Data Factory – For ETL & Data Integrations - Must Have
  •  Python – Good to have

Soft Skills

  •  Strong problem-solving and analytical thinking
  •  Good communication and stakeholder management
  •  Ability to work independently and as part of a team in a fast-paced environment
  •  Strong attention to detail and data integrity

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