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Jobgether

Senior Data Operations Engineer

IndiaPosted 2 weeks ago
Full-timehybrid

Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Operations Engineer in India.

This role sits at the core of a modern data ecosystem, supporting large-scale data operations across cloud-based warehouses and analytics platforms. You will work on designing, optimizing, and maintaining end-to-end data pipelines that power critical business decisions across multiple teams. The position blends hands-on engineering with collaboration, enabling you to influence architecture, improve performance, and ensure high data reliability. You will partner with engineers, analysts, data scientists, and business stakeholders to translate complex data requirements into scalable solutions. This is a highly visible role where your work directly impacts operational efficiency, cost optimization, and data-driven decision-making. The environment is fast-paced, collaborative, and built around modern data stack technologies such as Snowflake, Databricks, Azure, and DBT. It is well-suited for someone who enjoys solving complex data challenges while mentoring others and driving best practices.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Operations Engineer in India.

This role sits at the core of a modern data ecosystem, supporting large-scale data operations across cloud-based warehouses and analytics platforms. You will work on designing, optimizing, and maintaining end-to-end data pipelines that power critical business decisions across multiple teams. The position blends hands-on engineering with collaboration, enabling you to influence architecture, improve performance, and ensure high data reliability. You will partner with engineers, analysts, data scientists, and business stakeholders to translate complex data requirements into scalable solutions. This is a highly visible role where your work directly impacts operational efficiency, cost optimization, and data-driven decision-making. The environment is fast-paced, collaborative, and built around modern data stack technologies such as Snowflake, Databricks, Azure, and DBT. It is well-suited for someone who enjoys solving complex data challenges while mentoring others and driving best practices.

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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Senior Data Operations Engineer at Jobgether | Renata