This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (Cloud) based in India.
This role offers the opportunity to modernize data infrastructure and build scalable cloud-based data products in a globally distributed technology environment.
You will lead the migration of data workloads from legacy SQL Server environments to up-to-date cloud platforms.
Your work will directly improve the reliability, quality, performance, and accessibility of analytical data.
You will design production-grade ETL/ELT pipelines, analytical models, and cloud data workflows using modern engineering practices.
The role combines hands-on data engineering with cloud infrastructure, platform automation, and AI-assisted engineering initiatives.
You will collaborate with analysts, engineers, and business stakeholders to translate complex requirements and legacy logic into robust solutions.




This is an excellent opportunity for a senior engineer who enjoys solving challenging data problems and shaping modern cloud platforms.
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Accountabilities
Migrate data products, analytical workloads, and associated processes from MS SQL Server to a modern cloud data platform.
Analyze legacy SQL, ETL workflows, data models, and business logic, redesigning them to align with the target cloud architecture.
Build, maintain, and optimize scalable batch data pipelines and analytical data models for production use.
Deploy, configure, and operate managed cloud data services, including data warehouses, workflow orchestration, managed compute, and storage.
Validate migrated data, investigate discrepancies, and implement measures to maintain high standards of data accuracy and quality.
Collaborate with data analysts and business stakeholders to clarify requirements, understand business logic, and ensure technical solutions support analytical needs.
Contribute to data platform reliability, performance optimization, cost efficien

📌 Senior Data Engineer (India)
🏢 Jobgether
📍 India