Data Analyst – (MLOps + Databricks + Cloud)
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a Databricks / Cloud & MLOps Engineer to support and manage cloud-based data and machine learning platforms. The ideal candidate will have hands-on experience in Databricks administration building and monitoring data pipelines in cloud environments (Azure/AWS/GCP) and supporting scalable MLOps workflows. This role requires strong troubleshooting skills attention to detail and the ability to collaborate with cross-functional and client stakeholders.
Key ResponsibilitiesCore Experience
- 1 3 years of experience in Databricks Cloud (Any) and MLOps Data Engineering Analytics Engineering Analytics.
- Strong analytical mindset with ability to validate datasets and interpret outputs
- Ability to create executive-ready summaries and presentations
Databricks Platform & Engineering
- Manage Databricks environments including workspace configuration cluster setup and access controls
- Perform cluster monitoring performance tuning and cost optimization
- Configure and manage Databricks job scheduling and orchestration for production pipelines
- Ensure smooth execution of workloads across development staging and production environments
Cloud Data Pipeline Management
- Build execute and monitor data pipelines in cloud platforms such as Azure/AWS/GCP
- Ensure reliability scalability and performance of data ingestion and transformation workflows
- Support environment-specific deployment and resolve pipeline integration issues
- Validate datasets monitor pipeline outputs and identify anomalies or data quality issues
MLOps Support & Model Lifecycle Management
- Support deployment of machine learning models into production environments
- Assist with model monitoring performance tracking and lifecycle management
- Enable reproducible ML workflows using best practices in versioning testing and automation
- Support model retraining and deployment pipelines as required
CI/CD & Version Control
- Use GitHub (or similar tools) for source control code collaboration and release management
- Implement CI/CD best practices to automate testing deployment and environment management
- Promote reusable frameworks and standardized development processes
Stakeholder & Client Collaboration
- Work closely with client stakeholders to understand requirements and deliver actionable recommendations
- Coordinate with cross-functional teams (marketing analytics data vendors etc.) when needed
- Prepare clear issue logs diagnostic summaries and status updates for alignment and decision-making
- Translate technical findings into concise business-ready insights
Operational Excellence
- Identify opportunities for process improvements standardization and automation
- Support prioritization of requests based on timelines business impact and project budgets
- Provide ad-hoc support for data runs and analytics requests as business needs evolve
Soft Skills
- Strong attention to detail and problem-solving ability
- Excellent communication skills (written and verbal)
- Ability to work independently and manage multiple priorities
- Strong stakeholder management and collaboration skills
Bachelors or Masters degree in Analytics Statistics Economics Engineering Mathematics or related quantitative field.
