This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Azure Data Engineer based in India.
This role focuses on building and optimizing modern cloud-based data engineering solutions within the Microsoft Azure ecosystem. You will design and maintain scalable data pipelines that support analytics, reporting, and business intelligence initiatives across enterprise environments. Working in a fully remote setup, you will collaborate with cross-functional teams to ensure reliable data ingestion, transformation, and storage using tools like Azure Data Factory, Synapse, and Databricks. The position offers exposure to large-scale data platforms, migration projects, and advanced analytics workflows. You will play a key role in improving data availability, performance, and governance across distributed systems. This is an excellent opportunity for an experienced data engineer to contribute to impactful cloud transformation initiatives.
Accountabilities:
- Design, develop, and maintain scalable data pipelines using Azure Data Factory, Synapse Analytics, and related services
- Build and optimize data processing workflows using PySpark, Databricks, and distributed computing frameworks
- Manage data ingestion, transformation, and storage in Azure Data Lake Storage Gen2 environments
- Support database migration activities to Azure platforms and ensure data integrity during transitions
- Develop advanced SQL/T-SQL queries for data extraction, transformation, and reporting
- Collaborate with analytics and business teams to deliver high-quality data solutions
- Monitor and optimize data pipeline performance, reliability, and scalability
- Ensure adherence to data governance, security, and best practices across platforms
Requirements:
- 7–11 years of experience in Data Engineering or related roles
- Strong hands-on experience with Azure Data Factory, Azure Synapse, ADLS Gen2, and Databricks
- Proficiency in PySpark, Scala, and distributed data processing frameworks
- Strong SQL and T-SQL skills with experience in performance tuning and optimization
- Experience in Azure database migration projects is highly preferred
- Familiarity with Hadoop, Hive, or Talend (as legacy or secondary tools) is a plus
- Solid understanding of data warehousing concepts and ETL/ELT pipelines
- Strong analytical and problem-solving skills with attention to detail
- Ability to work independently in a remote, fast-paced environment
- Good communication skills for collaborating with technical and non-technical stakeholders
Benefits:
- Competitive monthly compensation aligned with experience (INR 15–21 LPA range as indicative)
- Fully remote work opportunity within India
- Opportunity to work on enterprise-scale Azure data engineering projects
- Exposure to modern cloud data architecture and migration initiatives
- Collaborative and technology-driven work environment
- Opportunity to work with advanced analytics and big data technologies
- Continuous learning and skill development opportunities
- Flexible work setup with cross-functional collaboration
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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