Power BI Senior Software Engineer at Sopra Steria

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

0.0

Posted On

05 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, SQL, Snowflake, Data Modeling, DAX, Power Query, UI/UX Design, Data Connectivity, Performance Tuning, Documentation, Data Security, Tableau, Azure Data Services, Machine Learning, Data Analytics, Mentoring

Industry

Information Technology & Services

Description

Company Description About Sopra Steria Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion. The world is how we shape it. Job Description Required Skills & Expertise: Highly skilled Data Analyst / BI Developer with proven expertise in Power BI, SQL, Snowflake, and data modeling. The role requires a strong blend of technical skills, business acumen, and communication abilities to design, develop, and deliver high-quality BI solutions Mandatory Requirements:- Collaborate with business stakeholders to understand reporting needs, ensuring alignment on report design, usability, and functionality. Proven experience in Business Intelligence / Data Analytics with a focus on reporting and data modeling. Strong knowledge of Power BI, including DAX, Power Query (M), and building enterprise-grade dashboards. Solid understanding of data modeling techniques(3NF, Star Schema, Snowflake Schema, Data Vault 2.0). to support analytical and reporting requirements. Write efficient SQL queries to handle large volumes of data Apply UI/UX design principlesto ensure Power BI dashboards are intuitive, user-centric, and tailored to specific target groups. Experience of Data connectivity with Multiple Sources - Oracle BI, SQL, API’s, Dataflows, Data lakes, Data Warehouse Microsoft Certified: Power BI Data Analyst Associate (PL-300) Secondary Requirements: - Implement performance tuning and optimization techniques to enhance Power BI report efficiency. Prepare detailed documentation, including data dictionaries, process workflows, and user guides. Implement Power BI service administration, including RLS & OLS, workspace management, data security policies and deployment pipelines Experience with other BI tools (Tableau, Qlik, Looker) is a plus. Familiarity with Azure Data Services, Databricks, or Microsoft Fabric. Exposure to advanced analytics, statistical analysis, or machine learning concepts. Snowflake SnowPro Core Certification Microsoft Certified: Azure Data Fundamentals (DP-900) or Azure Data Engineer Associate (DP-203) Soft Skills & Leadership Strong problem-solving & critical-thinking skills. Excellent data storytelling & communication abilities. Proven ability to mentor and lead teams in BI best practices. Total Experience Expected: 02-04 years Qualifications Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is preferred. Equivalent work experience may be considered in lieu of a degree. Additional Information At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.

Responsibilities

The role involves collaborating with business stakeholders to understand reporting needs and designing high-quality BI solutions. It also includes writing efficient SQL queries and implementing performance tuning techniques.