Data Engineer Analyst Job Openings in Hyderabad 2026!!!
Optum announced job vacancy for the post of Data Engineer 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 |
| Skills | UNIX/Linux, DataStage, and Teradata |
| Category | Technology |
| Work Type | Onsite |
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with their team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help them advance health optimization on a global scale.
Job Details
Θ Positions: Data Engineer Analyst
Θ Job Location: Hyderabad
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 2355738
Roles and Responsibilities:
- Developing, enhancing, and maintaining data pipelines that enable analytics and enterprise reporting solutions
- Assist in building and optimizing data processing workflows using Python, Spark, and Scala, following established development standards and best practices
- Support batch and streaming data ingestion processes, including exposure to Kafka based data pipelines
- Apply data warehousing and data modeling fundamentals while working with structured and semi structured data
- Participate in activities such as job monitoring, incident resolution, and ensuring day to day platform stability
- Assist with addressing security vulnerabilities, implementing fixes, and following data security guidelines across environments
- Support tool and software upgrades, testing changes and validating data pipelines post deployment
- Create, modify, and maintain Azure Data Factory (ADF) pipelines under the guidance of senior engineers
- Support Databricks workloads, including job execution, performance troubleshooting, and basic optimizations
- Manage and support cloud data storage and data movement using Azure Blob Storage and AZ Copy
- Collaborate with cross functional teams, document solutions, and participate in knowledge transfer activities
Required Skills & Qualifications:
- Bachelor’s degree or equivalent experience
- Foundational experience with UNIX/Linux, DataStage, and Teradata
- Working knowledge of Python for data processing and automation tasks
- Exposure to Apache Spark and basic big data processing concepts
- Exposure to or interest in working with healthcare data systems
- Familiarity with Airflow or similar scheduling/orchestration tools
- Basic understanding of Databricks and Snowflake platforms
- Understanding of ETL/ELT processes, data warehousing concepts, and SQL fundamentals
- Proven solid communication skills, analytical thinking, and eagerness to learn
Preferred Qualifications:
- Experience supporting production systems or participating in operational activities
- Exposure to Kafka or streaming data concepts
- Familiarity with GitHub and GitHub Copilot
- Basic knowledge of Azure cloud services, especially Azure Data Factory and Blob Storage
- Proven ability to work effectively in a team oriented, enterprise environment
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Disclaimer:
The information provided on this page is intended solely for informational purposes for Students, Freshers & Experience candidates. All the recruitment details are sourced directly from the official website and pages of the respective company. Latest MNC Jobs do not guarantee job placement, and the recruitment process will follow the company’s official rules and Human Resource guidelines. Latest MNC Jobs do not charge any fees for sharing job information. Latest MNC Jobs strongly advise Students, Freshers & Experience candidates not to make any payments for any job opportunities.
