Position Overview:

We are looking for an experienced and motivated Software Engineer with a strong background in Microsoft Business Intelligence (MS BI) tools and technologies to join our team. The ideal candidate will have hands-on experience with ETL/ELT frameworks, specifically using MS BI tools (SSIS, SSRS, SSAS) and Power BI, as well as a solid understanding of database concepts and SQL. 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.

Experience: 3 to 6 yrs;

Job Location: Hyderabad

Salary: upto 33 Lpa;

Mode of Interview: Virtual

Interview Level: 1 Level

Preferred: PWD (Physical with Disability)

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