Senior Specialist - Data Engineering
Senior Specialist - Data Engineering
vivantify technology solutions india pvt. ltd.Early Applicant
- Posted 11 hours ago
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Job Description
Location: Pune
Experience: 7–11 Years
Employment Type: Permanent
Openings: 1
About The Role
We are seeking a Senior Data Engineering Specialist with strong expertise in dimensional and relational data modeling, SQL, Power BI, and enterprise data platforms. The role focuses on designing enterprise-scale data models and translating business requirements into production-ready data solutions. The candidate will collaborate with technical and business stakeholders across data engineering, analytics, and governance initiatives.
Job Description
The role involves designing scalable dimensional and relational data models using platforms such as Microsoft Fabric, Azure Synapse Analytics, SQL Server, or comparable cloud data platforms. The candidate will analyze business requirements and convert them into reliable, production-ready data models.
The position also supports enterprise analytics and data modernization initiatives, including Power BI semantic modeling, data governance, metadata and lineage management, cloud migration, and EDW modernization. Strong documentation, facilitation, communication, and stakeholder-management capabilities are essential.
Key Responsibilities
The ideal candidate will have 7+ years of experience in data warehousing, analytics engineering, business intelligence, or enterprise data platforms, including at least 5 years of hands-on experience in dimensional and relational data modeling. The candidate should have strong SQL and cloud data-platform expertise along with excellent communication and stakeholder-management skills.
Benefits Package
Experience: 7–11 Years
Employment Type: Permanent
Openings: 1
About The Role
We are seeking a Senior Data Engineering Specialist with strong expertise in dimensional and relational data modeling, SQL, Power BI, and enterprise data platforms. The role focuses on designing enterprise-scale data models and translating business requirements into production-ready data solutions. The candidate will collaborate with technical and business stakeholders across data engineering, analytics, and governance initiatives.
Job Description
The role involves designing scalable dimensional and relational data models using platforms such as Microsoft Fabric, Azure Synapse Analytics, SQL Server, or comparable cloud data platforms. The candidate will analyze business requirements and convert them into reliable, production-ready data models.
The position also supports enterprise analytics and data modernization initiatives, including Power BI semantic modeling, data governance, metadata and lineage management, cloud migration, and EDW modernization. Strong documentation, facilitation, communication, and stakeholder-management capabilities are essential.
Key Responsibilities
- Design and develop dimensional and relational data models for enterprise-scale environments.
- Translate business requirements into production-ready data models and solutions.
- Develop and optimize SQL for data engineering and analytics requirements.
- Work with Microsoft Fabric, Azure Synapse Analytics, SQL Server, or comparable cloud data platforms.
- Support Power BI semantic modeling and enterprise metric governance.
- Contribute to metadata, data lineage, and enterprise data governance initiatives.
- Support cloud migration and EDW modernization activities.
- Collaborate with business and technical stakeholders through requirements gathering, documentation, and solution delivery.
- Dimensional Data Modeling
- Power BI
- Strong SQL
- Relational Data Modeling
- Microsoft Fabric, Azure Synapse Analytics, or SQL Server
- Data warehousing, analytics engineering, business intelligence, or enterprise data platform experience
- Strong communication, documentation, facilitation, and stakeholder-management skills
- Microsoft Fabric or Azure data platform certification
- Power BI semantic modeling, DAX, calculation groups, and enterprise metric governance
- Microsoft Purview or equivalent metadata catalog and lineage tools
- Knowledge of Data Vault, data mesh, master data management, and domain-oriented data products
- Experience with cloud migration, EDW modernization, CI/CD, Git, and Dev/Test/Prod deployment practices
- Dimensional Data Modeling
- Power BI
The ideal candidate will have 7+ years of experience in data warehousing, analytics engineering, business intelligence, or enterprise data platforms, including at least 5 years of hands-on experience in dimensional and relational data modeling. The candidate should have strong SQL and cloud data-platform expertise along with excellent communication and stakeholder-management skills.
Benefits Package
- Competitive salary and benefits package
- Opportunities for professional growth and development
- A collaborative and inclusive work environment
- The opportunity to work on exciting and challenging projects with leading clients
More Info
Key Skills
Strong SQL
Dimensional Data Modeling
Microsoft Fabric
