Senior Data Engineer Extraction Enhancement

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Senior Engineer [Production Support]

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Role Overview

The Senior Engineer – Digital Operations is responsible for supporting and enhancing Azure-based data platforms with a strong focus on data engineering, DevOps practices, and production stability. The role involves working across Databricks, SQL, and Azure services, ensuring efficient data pipelines, streamlined deployments, and high system reliability.

Key Responsibilities

Production Support & Operations

• Provide Level 2/ Level 3 production support for Azure-based data platforms and pipelines
• Monitor system performance and ensure high availability and reliability
• Handle incident management, root cause analysis (RCA), and issue resolution
• Support release cycles, change management, and environment stability
• Maintain runbooks, SOPs, and knowledge documentation

Azure Data Engineering

• Develop, maintain, and optimize data pipelines using Azure services (ADF, ADLS, Synapse, Databricks)
• Work with Databricks (PySpark/Spark) for large-scale data processing
• Support data ingestion, transformation, and integration workflows
• Improve pipeline performance and scalability

DevOps & Automation

• Implement and support CI/CD pipelines using tools like Azure DevOps
• Enable automated deployments, testing, and release processes for data platforms
• Manage version control (Git) and branching strategies
• Automate monitoring, alerting, and operational workflows
• Collaborate with engineering teams to adopt DevOps/DataOps best practices

SQL & Data Analysis

• Write and optimize complex SQL queries for troubleshooting and validation
• Perform data analysis and debugging to resolve pipeline/data issues
• Ensure efficient querying of large datasets

Collaboration & Continuous Improvement

• Work closely with data engineers, DevOps teams, and business stakeholders
• Identify and implement process improvements and automation opportunities
• Participate in on-call rotations and critical issue handling
• Contribute to platform modernization and performance tuning initiatives

Required Skills & Qualifications

Technical Skills

• Strong experience in Azure Data Engineering (ADF, ADLS, Synapse)
• Hands-on experience with Databricks (PySpark/Spark)
• Advanced proficiency in SQL
• Experience in building and managing data pipelines

DevOps Skills

• Experience with CI/CD tools (Azure DevOps preferred)
• Knowledge of Git/version control systems
• Understanding of automation, deployment pipelines, and release management
• Exposure to infrastructure-as-code (Terraform – good to have)

Operations & Support

• Experience in production support environments
• Knowledge of incident, problem, and change management processes
• Ability to troubleshoot and resolve high-priority production issues

Soft Skills

• Strong analytical and problem-solving skills
• Good communication and collaboration abilities
• Ability to work in fast-paced, high-pressure environments
• Proactive and ownership-driven mindset

Experience & Education

• 5–8 years of experience in Data Engineering / DevOps
• Bachelor’s degree in computer science, Engineering, or related field

Preferred Qualifications

• Hands-on experience with Azure DevOps pipelines and automation frameworks
• Exposure to data quality and governance practices
• Experience in Healthcare / Life Sciences domain (plus)

Pay:

The wage range for this role takes into accou