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Kavi Global - Data Engineer - Big Data & Analytics Technologies

Kavi India
Multiple Locations
5 - 7 Years

Posted on: 30/01/2026

Job Description

Description :


Job Summary :


We are seeking an experienced Data Engineer to design and build scalable, cloud-based data solutions using modern big data and analytics technologies.


The ideal candidate will have strong hands-on experience with Microsoft Fabric and solid expertise in PySpark, SQL, Databricks, and Azure Synapse Analytics.


This role will support enterprise-level data platforms that enable advanced analytics and data-driven decision-making.


Key Responsibilities :


- Design, develop, and optimize end-to-end data pipelines using PySpark and SQL.


- Build, deploy, and manage scalable data solutions using Microsoft Fabric (Lakehouse, Data Factory, Warehouses, etc.


- Develop and maintain data processing workflows using Databricks and Azure Synapse Analytics.


- Ensure data quality, performance, reliability, and scalability across data platforms.


- Implement and manage ETL/ELT processes for structured and semi-structured data.


- Collaborate with cross-functional teams (analytics, data science, and business stakeholders) to support data-driven initiatives.


- Monitor and troubleshoot data pipelines and optimize performance.


- Follow best practices for data architecture, security, and governance.


Required Skills & Experience:


- 5+ years of experience in Data Engineering or a related role.


- Strong proficiency in PySpark and SQL.


- Hands-on experience with Databricks and Azure Synapse Analytics.


- Solid understanding of data architecture, ETL/ELT processes, and cloud data platforms.


- Experience building scalable and reliable data pipelines in a cloud environment.


Must Have:


- Strong working knowledge of Microsoft Fabric (mandatory).


- Practical experience designing solutions using Fabric components such as Lakehouse, Pipelines, and Warehouses.


Nice to Have:


- Experience with Azure Data Factory, ADLS Gen2, or Delta Lake.


- Knowledge of data governance, security, and performance tuning.


- Exposure to BI/analytics tools consuming Fabric or Synapse data


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