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
Requirements
- 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
Benefits
- Competitive compensation with performance-based rewards
- Flexible work arrangements and remote-first opportunities
- Health insurance and wellness support programs
- Professional development budget for certifications, courses, and training
- Paid time off, holidays, and parental leave
- Opportunities to participate in volunteering and community initiatives
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.When you apply, your profile goes through our
AI-powered screening process
designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.🧠 When necessary, our human team performs an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company managing the position. The final decision and next steps (interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
