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 is designed for an experienced data professional who will architect, build, and optimize scalable data solutions on Microsoft Azure. You will play a key role in designing modern data pipelines and enabling enterprise-grade analytics across large and complex datasets. The position involves working extensively with Azure Synapse, Data Factory, Databricks, and Data Lake environments to deliver high-performance data platforms. You will contribute to cloud data migration initiatives and help organizations transition from legacy systems to modern Azure-based architectures. This is a highly impactful role where your work directly supports data-driven decision-making at scale. The environment is collaborative and technically advanced, offering exposure to cutting-edge big data and cloud technologies. You will also have opportunities to guide teams and influence data engineering best practices.
Accountabilities:
- Design, develop, and optimize scalable data pipelines using Azure Data Factory and Synapse pipelines
- Build and maintain robust data lake and analytics solutions using ADLS Gen2 and Azure Synapse
- Develop and optimize big data processing workflows using Databricks with PySpark or Scala
- Support end-to-end data migration from legacy systems to Azure cloud environments
- Implement data transformation, integration, and orchestration solutions for enterprise analytics use cases
- Collaborate with architects and stakeholders to define data models and ensure data quality standards
- Monitor and improve performance, reliability, and scalability of data engineering solutions
- Contribute to technical leadership and guide team members on best practices and design patterns
Requirements:
- 6–11 years of experience in Data Engineering, with strong exposure to Azure cloud ecosystem
- Hands-on expertise in Azure Synapse, Azure Data Factory, ADLS Gen2, and Databricks
- Strong programming skills in PySpark and/or Scala for distributed data processing
- Experience in designing and implementing large-scale data pipelines and cloud data architectures
- Good understanding of data migration projects from on-premise or legacy systems to Azure
- Familiarity with Hadoop, Hive, and Talend is an added advantage
- Strong analytical and problem-solving skills with attention to data quality and performance
- Ability to work in both individual contributor and team leadership roles
- Excellent communication and stakeholder management skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Benefits:
- Competitive compensation based on experience
- Fully remote work flexibility
- Opportunity to work on large-scale Azure data transformation programs
- Exposure to modern cloud-native data engineering tools and architectures
- Career growth into senior technical or data architecture roles
- Collaborative, innovation-driven engineering environment
- Chance to work on enterprise-grade analytics and migration projects
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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