Optum Recruitment Drive; Hiring Data Engineering Analyst – Apply Now

Data Engineering Analyst Job Openings in Hyderabad 2026!!!

Optum announced job vacancy for the post of Data Engineering Analyst. The place of posting will be at Hyderabad. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	Optum
Required Qualifications	Graduate / Post Graduate
Skills	Python, Scala, Spark, etc..,
Category	Technology
Work Type	Onsite

The Data Engineer (Grade 25) will support the design, development, and maintenance of scalable Big Data solutions on cloud platforms. This role is ideal for early career data engineers with hands-on experience in Spark-based data processing, Azure cloud services, and data pipeline orchestration.

The individual will work closely with senior engineers, architects, and cross-functional teams to build reliable data pipelines, improve existing solutions, and ensure secure and efficient data operations. The role emphasizes solid fundamentals in data engineering, cloud technologies, and production support, while providing opportunities to grow into advanced Big Data and cloud-native architectures.

Job Details

Θ Positions: Data Engineering Analyst

Θ Job Location: Hyderabad

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: 2348586

Roles and Responsibilities:

• Design, code, test, document, and maintain high-quality, scalable Big Data applications using PySpark and Scala Spark on Azure Cloud platforms
• Develop and manage data pipelines and schedule workflows using Apache Airflow, ensuring proper job dependencies and execution order
• Securely manage secrets and credentials using Azure Key Vault, following enterprise security best practices
• Analyze existing data pipelines and applications to identify gaps, risks, and opportunities for improvement
• Assist in analyzing data architecture and design frameworks, working with multiple databases and data warehouses
• Create prototypes and proof-of-concepts (POCs) and participate in design and code reviews
• Write and maintain technical documentation for data pipelines, workflows, and operational procedures
• Participate in production support activities, including monitoring, troubleshooting, and issue resolution
• Perform performance optimization of data pipelines and assist with application migration efforts across environments
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Skills & Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent, with more than 1 year of relevant work experience
• Hands-on experience with Python and Scala for data engineering and Big Data development
• Hands-on exposure to Azure Data Lake, Azure Databricks, Azure Data Factory, and Azure Key Vault
• Hands-on exposure to AI-assisted development tools such as Microsoft Copilot, with a basic understanding of prompt engineering to improve coding efficiency, data analysis productivity, and documentation quality
• Working experience with Apache Spark and good understanding of Hadoop ecosystem concepts
• Experience with job scheduling and orchestration tools, particularly Apache Airflow
• Experience with Snowflake and writing Shell scripts for automation and operational tasks
• Good experience working in cloud environments, preferably Microsoft Azure
• Solid experience in writing complex SQL and PL/SQL queries
• Exposure to CI/CD pipelines using tools such as Jenkins and GitHub Actions
• Basic understanding of software development best practices, version control, and collaborative development
• Proven good analytical skills, attention to detail, and willingness to learn new technologies and frameworks
• Proven ability to work effectively in a team-oriented and fast-paced environment

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