Lead design and implementation of scalable data platforms using Microsoft Fabric. Build and optimize pipelines, lakehouses/warehouses, and semantic models/ontologies. Ensure data quality, governance, metadata management, and semantic consistency. Collaborate with stakeholders to enable analytics, AI/ML initiatives, and business insights using Python and modern data frameworks.
This role is for one of the Weekday's clients
Salary range: Rs 400000 - Rs 3000000 (ie INR 4 - 30 LPA)
Min Experience: 8+ years
Location: India
JobType: full-time
We are seeking senior-level professionals with strong hands-on experience in Microsoft Fabric, Python, and Semantic Data Modeling/Ontologies. The ideal candidate will have proven expertise in designing scalable data platforms, building semantic layers, and enabling business insights through modern data engineering practices.
Requirements
Key Responsibilities
- Design, develop, and optimize data solutions using Microsoft Fabric.
- Build and manage data pipelines, lakehouses, warehouses, and analytics workloads.
- Develop semantic models, ontologies, and knowledge representations to support business use cases.
- Implement data engineering solutions using Python and modern data frameworks.
- Collaborate with business and technical stakeholders to translate requirements into scalable data architectures.
- Ensure data quality, governance, metadata management, and semantic consistency across data assets.
- Support advanced analytics, AI/ML, and enterprise data initiatives.
Required Skills
- 8+ years of experience in Data Engineering and Analytics.
- Strong hands-on expertise in Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Power BI, OneLake).
- Experience with IQ/Ontologies, Semantic Modeling, Knowledge Graphs, or related semantic technologies.
- Advanced Python programming skills for data processing and automation.
- Strong understanding of data architecture, ETL/ELT, data modeling, and cloud-native analytics platforms.
- Experience working directly with business stakeholders and enterprise-scale data ecosystems.
Preferred Qualifications
- Experience with knowledge graphs, metadata management, and semantic search solutions.
- Exposure to AI/GenAI-enabled data platforms.
- Microsoft Fabric and Azure certifications preferred.
MS Fabric, Fabric IQ, Python
Good-to-have skillsMicrosoft Fabric, Ontology
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Generative AI
Lead design and delivery of AWS Data Lakehouse solutions using Medallion architecture. Architect and automate cloud infrastructure, optimize Redshift/Glue performance and costs, enforce data governance and quality, implement CDC/ETL pipelines, and liaise with Data Science/BI and business stakeholders. Mentor engineers and drive technical roadmap and migrations.
Top Skills:
Amazon AthenaAmazon RedshiftAmazon S3Apache AirflowAws DmsAws GlueAws Glue Data QualityAws Glue DatabrewAws Lake FormationAws Step FunctionsDbtDockerGithub ActionsIamMicrosoft FabricOpenlineageParquetPower BIPower Bi EmbeddedPysparkPythonRedshift ServerlessSnowflakeSQLTerraform
Fintech • Real Estate • Software
As a Senior Data Engineer, you'll design data models, build ETL/ELT pipelines, collaborate with other engineers, and enhance analytics products to support business decisions.
Top Skills:
Amazon RedshiftAWSBiData StudioDomoGoogle BigqueryLookerModePostgresPower BIPythonQlikviewSnowflakeSQLTableau
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead product strategy and delivery for Mastercard's In Control virtual card platform. Translate business requirements into technical specs, work with engineering scrum teams, engage regional partners and customers, define platform vision for tokenized and virtual card payments, validate technical delivery, and drive go-to-market and product enhancements to grow B2B and T&E payment adoption.
Top Skills:
AgilePayment ProcessingPme FrameworkScrumTokenizationUx/UiVirtual Card Platform
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
