Noida, Up Engineer java architecture Jobs – 142 Open Jobs Today

Senior Software Engineer I
Optum —Noida, Uttar Pradesh
- Full-time
- Azure
- Java
- Databases
- Health insurance
ServiceNow-Service Now-Application Engineer-Senior
EY —Noida, Uttar Pradesh
- Remote
- Computer Science
- Java
- Master's degree
- Health insurance
9h
Tech Lead - Identity & Access Management
Ameriprise India —Noida, Uttar Pradesh
- Weekend availability
- Azure
- Computer Science
- Java
- Work from home
Manager, Software Engineering - 1564
GHX —Noida, Uttar Pradesh
- System design
- English
- Java
Engineer, Staff
Qualcomm —Noida, Uttar Pradesh
- Doctoral degree
- Computer Science
- Engineering
6h
Software Engineer III - 1456
GHX —Noida, Uttar Pradesh
- Rotational shift
- Computer Science
- System design
- Java
8h
Sr. Engineer - Dev (Senior Mobile App Developer)
IFI Techsolutions —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Java
5h

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Senior Software Engineer I

Optum -
Noida, Uttar Pradesh

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Job details

Full-time

Benefits

Health insurance

Qualifications

Data modelling
Azure
Relational databases
Encryption
System architecture
Microsoft SQL Server
NoSQL
Java
Application development
Databases
SQL
AWS
Database management
ETL
Cloud computing
Business requirements
Data warehouse
Python

Full job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our 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 us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

Developing Data Pipelines: Creating and maintaining optimal data pipeline architectures to ensure efficient data flow and processing
Data Integration: Assembling large, complex data sets from various sources to meet business requirements Process
Improvement: Identifying and implementing internal process improvements, such as automating manual processes and optimizing data delivery
Infrastructure Building: Designing and building the infrastructure required for data extraction, transformation, and loading (ETL) using technologies like SQL and AWS
Collaboration: Working with stakeholders, including data scientists, analysts, and executives, to support their data infrastructure needs and resolve data-related technical issues
Data Quality: Running tests to isolate errors and updating systems to accommodate changes in company needs
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 Qualifications:

Experience with DBT Core
Health care domain knowledge
Programming Languages: Familiarity with languages like Python or Java for data analysis and application development
Data Modeling: Proficiency in creating logical and physical data models to represent business requirements and system architecture
Data Warehousing: Understanding of data warehousing concepts, including data storage, retrieval, and optimization
Data Security: Knowledge of data security best practices, encryption, and access controls
ETL (Extract-Transform-Load): Expertise in ETL processes and tools like DBT (Data Build Tool) and DBT framework/packages
Database Management Systems (DBMS): Proficiency in relational databases (e.g., Microsoft SQL Server) and NoSQL databases
Cloud Computing: Understanding of cloud platforms (e.g., Azure, AWS, GCP) and their data services
Delta Lake: Familiarity with Delta Lake, an open-table format that combines data lake flexibility with ACID transactions
Medallion Architecture: Knowledge of the medallion architecture, which organizes data layers (Bronze, Silver, Gold) in a lakehouse
Data Vault: Understanding of the Data Vault methodology for scalable and flexible data warehousing
Azure Data Factory (ADF): Proficiency in using ADF for orchestrating data workflows, data movement, and transformation

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

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