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UnitedHealth Group
Data Engineer - UNIX, Data Stage, Python, Data Warehouse, Cloud
UnitedHealth Group
Hyderabad•On-site•1-3 Yrs•Jun 28
Job description
Overview
Primary 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
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
- Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive tasks. Evaluate emerging trends to drive continuous improvement and strategic innovation.
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
- 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