Senior Data Operations Engineer (Remote - India)

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 provides an exciting opportunity to lead and optimize data operations across multiple platforms, ensuring high availability, performance, and security of critical data systems. You will design, maintain, and monitor relational and NoSQL databases, support ETL pipelines, and work closely with data engineers and developers to enable seamless analytics and operational workflows. The position involves implementing best practices in database architecture, backup and recovery, security, and performance tuning, while collaborating with cross-functional teams to support business initiatives. This role is ideal for a proactive engineer who thrives in a dynamic, fast-paced environment and enjoys solving complex data challenges with a combination of technical expertise and operational rigor.

Accountabilities

• Design, implement, and maintain optimal database schemas for MariaDB and MongoDB, supporting analytics in Databricks.
• Monitor database performance, troubleshoot incidents, and optimize SQL queries, indexing, and ETL pipelines.
• Implement and maintain backup, recovery, and disaster recovery procedures across all data platforms.
• Ensure compliance with data governance policies, access controls, encryption, and security best practices.
• Manage Databricks clusters, Spark jobs, and Delta Lake transformations, integrating with external data sources.
• Collaborate with developers, data scientists, and DevOps teams, providing documentation and training on database operations.
• Participate in capacity planning, schema migrations, and performance tuning to support business growth.

• Proven experience with MariaDB (mysqldump, mysqladmin, Percona Toolkit), MongoDB (mongodump, mongotop, mongoexport, Atlas UI), and Databricks (Jobs UI, CLI, REST API, SQL Analytics).
• Strong scripting skills in Bash, Python, or PowerShell.
• Experience with monitoring and observability tools such as Prometheus, Grafana, CloudWatch, or DataDog.
• Knowledge of CI/CD workflows and version control (Git, Jenkins, Terraform).
• Understanding of relational and NoSQL database design, performance tuning, and best practices.
• Experience supporting large-scale ETL pipelines and data integration workflows.
• Preferred experience with cloud platforms, particularly AWS, and strong problem-solving skills in a fast-paced environment.