Data Engineer, Microsoft Fabric

Jobtailor; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Jobtailor in Pune, Maharashtra, is seeking an experienced Data Engineer to design and maintain Fabric Lakehouse environments, develop Delta Tables, and implement Medallion Architecture for data quality and governance across large analytics workloads. You will build curated datasets and transform data using PySpark and Spark SQL, collaborating with BI teams to support Power BI models.

The ideal candidate holds a CS/Data Science degree and has 4–6 years in data engineering with hands-on experience

Qualifications

• Graduate in Computer Science, Data Science, or related field.
• 4-6 years of experience in data engineering or related field.
• Microsoft Fabric, OneLake, Fabric Lakehouse, Fabric Data Factory.
• Data Pipelines, Notebook Development, PySpark, Spark SQL, SQL.
• Delta Lake, Medallion Architecture, Power BI Integration.
• Git Version Control, Azure Data Services, ADLS, Azure Synapse.
• Azure DevOps, ETL/ELT Development, Data Modeling and Warehousing.
• Data Governance, Data Quality Frameworks, and Data Mesh concepts.

Responsibilities

• Design and maintain Fabric Lakehouse environments.
• Develop and optimize Delta Tables for high-performance workloads.
• Implement Medallion Architecture (Bronze/Silver/Gold) for quality and governance.
• Create curated datasets for reporting, analytics, and AI/ML use cases.
• Develop data transformation logic using PySpark, Spark SQL, and notebooks.
• Create reusable frameworks and data engineering best practices.
• Perform data cleansing, enrichment, and standardization.
• Design dimensional and analytical data models.
• Collaborate with BI teams to support Power BI semantic models and reporting requirements.
• Ensure data consistency, quality, and accuracy across platforms.

Skills

Fabric Lakehouse

Delta Tables

Medallion Architecture

PySpark

Spark SQL

SQL

Power BI Integration

Azure Data Services

Azure Data Lake Storage

Azure Synapse Analytics

ETL/ELT Development

Data Modeling

Data Warehousing

Data Pipelines

Notebook Development

Git Version Control

Azure DevOps

Education

Bachelor's degree in Computer Science, Data Science, or related field

Tools

Notebooks

Git Version Control

Azure DevOps

Job description

• Design and maintain Fabric Lakehouse environments.
• Develop and optimize Delta Tables for high-performance analytics workloads.
• Implement Medallion Architecture (Bronze, Silver, Gold layers) to support data quality and governance requirements.
• Create curated datasets for reporting, analytics, and AI/ML use cases.
• Develop data transformation logic using PySpark, Spark SQL, and notebooks.
• Create reusable frameworks and data engineering best practices.
• Perform data cleansing, enrichment, and standardization activities.
• Design dimensional and analytical data models.
• Collaborate with Business Intelligence teams to support Power BI semantic models and reporting requirements.
• Ensure data consistency, quality, and accuracy across data platforms.

Requirements

• Graduate in Computer Science, Data Science, or related field.
• 4-6 years of experience in data engineering or related field.
• Microsoft Fabric
• OneLake
• Fabric Lakehouse
• Fabric Data Factory
• Data Pipelines
• Notebook Development
• PySpark
• Spark SQL
• SQL
• Delta Lake
• Medallion Architecture
• Power BI Integration
• Git Version Control
• Azure Data Services
• Azure Data Lake Storage (ADLS)
• Azure Synapse Analytics (preferred)
• Azure DevOps
• ETL/ELT Development
• Data Modeling
• Data Warehousing
• Data Governance
• Data Quality Frameworks
• Performance Tuning
• Experience in large-scale enterprise data transformation programs.
• Knowledge of Data Mesh and Modern Data Platform concepts.
• Exposure to AI/ML data preparation processes.
• Microsoft Fabric Certification (Preferred).
• Experience working in Banking, Insurance, Healthcare, or Retail domains.

Core Competencies

Demonstrates expertise in designing and maintaining Fabric Lakehouse environments, optimizing Delta Tables, and implementing Medallion Architecture to ensure data quality and governance. Proficient in data transformation using PySpark and Spark SQL, with a strong focus on collaboration with Business Intelligence teams for reporting and analytics.

Highest-signal resume keywords

• Fabric Lakehouse
• Delta Tables Optimization
• Medallion Architecture Implementation
• Data Transformation Using PySpark
• Power BI Integration

ATS Optimization Keywords

Hard Skills

• Data Engineering
• Data Modeling
• ETL/ELT Development
• Performance Tuning
• Data Governance
• Data Quality Frameworks
• Data Warehousing
• SQL
• Spark SQL
• PySpark

Certifications & Qualifications

• Microsoft Fabric Certification

Industry Keywords

• Banking
• Insurance
• Healthcare
• Retail
• Data Mesh
• Modern Data Platform
• AI/ML Data Preparation

Tools & Technologies

• Microsoft Fabric
• OneLake
• Fabric Data Factory
• Azure Data Services
• Azure Data Lake Storage (ADLS)
• Azure Synapse Analytics
• Azure DevOps
• Git Version Control
• Notebooks
• Data Pipelines