Software Engineer (MS Business intelligence)

Job Description

Position Overview:

The candidate should also have experience with DevOps practices, CI/CD pipelines, and working in an Agile environment. Knowledge of version control systems, such as Git, is essential for collaboration and code management.

Key Responsibilities:

• Develop, maintain, and optimize ETL/ELT processes using MS BI tools, particularly SSIS.
• Design and implement reports, dashboards, and analytical solutions using SSRS, SSAS, and Power BI.
• Build, test, and deploy data models, cubes, and interactive reporting solutions for business users.
• Collaborate with business analysts and stakeholders to gather requirements and transform them into scalable data solutions.
• Ensure the quality and integrity of data, ensuring consistency across systems and platforms.
• Utilize DevOps best practices to automate deployment pipelines and integrate them into CI/CD pipelines for continuous delivery.
• Participate in Agile development cycles, contributing to sprint planning, standups, and retrospectives using Scrum and Kanban methodologies.
• Leverage version control systems, particularly Git, for source code management and collaboration.
• Optimize SQL queries and database performance to ensure the efficiency of reports and data processes.
• Provide technical support for data solutions, ensuring they meet business needs and industry standards.

Required Skills & Qualifications:

• Hands-on experience with MS BI tools (SSIS, SSRS, SSAS) and Power BI for data integration, reporting, and analysis.
• Strong understanding of ETL/ELT frameworks and how to implement them effectively in data pipelines.
• Proficiency in SQL and a solid understanding of relational database concepts.
• Experience with DevOps principles, particularly around CI/CD pipeline implementation.
• Working knowledge of Agile methodologies, including experience with Scrum and Kanban.
• Familiarity with version control systems such as Git for managing and collaborating on code.
• Problem-solving skills with a focus on improving performance, data quality, and overall system efficiency.
• Excellent communication skills and the ability to work effectively in a collaborative, cross-functional team.

Preferred Skills & Qualifications:

• Experience with cloud-based data platforms (e.g., Azure Data Services, AWS Redshift).
• Knowledge of advanced data analytics tools and frameworks, such as machine learning models or big data processing tools.
• Familiarity with data governance, security, and compliance standards in a data-driven environment.
• Knowledge of additional BI tools, such as Tableau, or experience with Data Warehousing concepts.
• Experience with data automation or orchestration tools, such as Azure Data Factory.

Job Location:Hyderabad

Mode of Interview:Virtual

Preferred: PWD (Physical with Disability)