Note: The job is a remote job and is open to candidates in USA. Fractal Analytics is a strategic AI partner to Fortune 500 companies focused on powering human decision-making in the enterprise. The Data Engineering - DevOps role supports enterprise digital operations and cloud-based data platforms by building scalable data pipelines, managing cloud environments, automating deployments, and ensuring operational reliability.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data platforms
- Build and optimize data ingestion, transformation, and integration workflows
- Work with structured and unstructured data across cloud and enterprise systems
- Develop and optimize SQL queries, stored procedures, and data models
- Support enterprise analytics and reporting initiatives by ensuring reliable data availability
- Monitor and troubleshoot data pipeline failures, performance bottlenecks, and operational issues
- Support day-to-day operations of digital platforms and data ecosystems
- Ensure platform stability, reliability, and operational efficiency
- Implement monitoring, alerting, and incident management processes
- Perform root cause analysis and issue resolution for operational incidents
- Collaborate with support, infrastructure, and engineering teams to maintain service availability
- Support CI/CD pipeline implementation and deployment automation
- Work with DevOps tools for code integration, release management, and environment deployments
- Automate operational and deployment processes to improve efficiency and reliability
- Assist in Infrastructure-as-Code (IaC) and configuration management initiatives
- Support version control and branching strategies using Git-based repositories
- Work with cloud-based data platforms and services, preferably Microsoft Azure
- Support Azure-based data engineering solutions including Databricks, Data Factory, and SQL services
- Assist in cloud resource optimization, scalability, and security best practices
- Collaborate with architecture teams on platform improvements and modernization initiatives
- Work closely with engineering, analytics, business, and operations teams
- Participate in Agile/Scrum delivery processes and operational reviews
- Document technical processes, deployment procedures, and operational runbooks
- Support continuous improvement and automation initiatives
Skills
- • Strong understanding of Data Engineering concepts and ETL/ELT frameworks
- • Hands-on experience with SQL and database technologies
- • Exposure to Azure Data Engineering services such as:
- O Azure Databricks
- O Azure Data Factory
- O Azure SQL / Synapse
- • Knowledge of Python or PySpark for data processing and automation
- • Experience with DevOps and CI/CD tools such as:
- O Azure DevOps
- O Jenkins
- O GitHub Actions
- O Git
- • Understanding of cloud platforms, preferably Microsoft Azure
- • Familiarity with monitoring, logging, and operational support processes
- • Basic understanding of APIs, scripting, and automation
- • Exposure to containerization technologies like Docker/Kubernetes
- • Experience with Data Quality validation and monitoring frameworks
- • Familiarity with Infrastructure-as-Code tools such as Terraform or ARM templates
- • Knowledge of Agile delivery methodologies
- • Understanding of cloud security and governance practices
Benefits
- Discretionary bonus for the current performance period, if eligible.
- Health, dental, vision, life insurance, and disability plans for full-time employees or hourly employees working more than 30 hours per week, effective on the first day of employment.
- Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.
- 11 paid holidays.
- 12 weeks of Parental Leave.
- “Free time” PTO policy, allowing flexibility to take time needed for either sick time or vacation.
Company Overview