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