Senior Software Engineer
1 week ago
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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