Jobgether

Senior Data Operations Engineer

Jobgether  •  Republic of India (Remote)  •  22 hours ago
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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.

Accountabilities:

  • Manage and optimize end-to-end data pipelines, from ingestion and transformation to deployment of data models, ensuring reliability, scalability, and performance.
  • Collaborate with business and technical stakeholders to understand data requirements, system configurations, and downstream analytics needs.
  • Monitor, troubleshoot, and resolve data pipeline issues, identifying bottlenecks and implementing performance improvements and cost optimizations.
  • Develop, review, and test code using SQL and Python, ensuring strong data quality, consistency, and adherence to engineering standards.
  • Support architectural discussions and contribute to the design of scalable data solutions within cloud environments such as Azure and Snowflake.
  • Drive automation of manual processes and promote best practices in data engineering, governance, and operational efficiency.
  • Provide technical guidance, training, and support to internal users, fostering a strong data-driven culture across teams.
  • Requirements

    • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience with strong relevant background in data engineering roles.
    • 5+ years of experience working in data operations, data engineering, or analytics environments involving large-scale data systems.
    • Strong proficiency in SQL and working knowledge of Python for data processing, automation, and optimization tasks.
    • Hands-on experience with cloud data platforms such as Snowflake and cloud environments like Azure, AWS, or GCP.
    • Experience with ELT/ETL orchestration tools such as Azure Data Factory, Airflow, or similar workflow management systems.
    • Strong understanding of data modeling, data warehousing, and data architecture principles.
    • Experience with Git-based version control and collaborative engineering workflows.
    • Excellent analytical, communication, and problem-solving skills with the ability to explain complex technical concepts to non-technical stakeholders.
    • Strong team player with experience working in agile development environments.
    • Exposure to performance tuning, cost optimization, and large-scale data warehouse migration projects is a plus.
    • Benefits

      • Fully remote work opportunity from India with structured working hours aligned to EST.
      • Long-term contract engagement with potential for extension based on performance and business needs.
      • Exposure to modern data stack technologies including Snowflake, Databricks, Azure, DBT, and Airflow.
      • Opportunity to work on large-scale, high-impact data systems supporting enterprise-level decision-making.
      • Strong focus on learning, mentorship, and collaboration with experienced data engineering teams.
      • Hands-on experience with cloud optimization, automation, and data pipeline modernization initiatives.
      • Inclusive, collaborative environment that encourages innovation and continuous improvement.
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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Jobgether

About Jobgether

Jobgether is an AI-powered career coach and matching platform fixing the broken job search. Remote professionals no longer waste hours applying blindly; instead, they receive a personalized job search strategy, stronger visibility, and curated matches aligned with their skills, flexibility preferences, and career goals.

We flip the hiring model by connecting talent only to roles that truly match, reducing noise for employers and eliminating wasted effort for candidates. Jobgether combines AI coaching, profile optimization, Match Score insights, and the world’s largest remote job database to help people land opportunities faster and with less bias.

Our purpose is to make remote job search guided and intentional.

Our mission is to become the world’s reference platform for remote talent, ensuring no professional remains invisible and every match is meaningful.

Industry
Retail & Ecommerce
Company Size
201-500 employees
Headquarters
Brussels, BE
Year Founded
2020
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