Role and Responsibilities:-

1. Lead design on Financial Process / integration platform / patterns & Support build team

Ensure compliance of the data architecture with relevant financial regulations, accounting standards, and data privacy requirements
Design and implement data security controls, such as data encryption, access controls, and audit trails, across the Oracle Fusion Financials ERP ecosystem.
Collaborate with Security and Compliance teams to ensure adherence to industry standards and regulatory requirements across SEA for insurance industry
Support in definition of solution design, test plan, migration plan and execute data migration activities from legacy systems to Oracle Fusion Financials ERP
Collaborate with the integration specialists and technical experts to ensure seamless data flow and integration between Oracle Fusion Financials modules and other enterprise systems

Skills Required:-

8+ years of experience in designing and implementing data architectures for complex Oracle Fusion financial systems, preferably in the Oracle Subledgers (AP, AR, FA, Projects, Lease Accounting)
Strong expertise in Oracle Fusion Financials ERP Subledger modules and their underlying data structures including period close processes
Familiarity with financial accounting concepts and processes

Responsibilities:

Should have minimum 8-10+ years of experience

.

Good Communication and proactive.

Understand client and stakeholders requirements.

Do due diligence on the task and delivery with high quality on time.

Understand and align with the culture of the customer

Oracle E-Business Suite (EBS) Developer Technical

Experience in Data Collection Processing

String experience in Oracle

Experience in application maintenance and support.

12 Years of experience Required

About The Role
: We
are seeking a skilled Sr. Business Analyst with knowledge of healthcare Payer
& TPA industry and experience with premium billing, payments and
contribution accounting. This role involves requirements gathering, documenting
and analysis to align with the goals of the Program. We are seeking a
passionate, results-oriented candidate who excels in client interactions, and
can collaborate effectively with internal and external stakeholders to analyse
and document requirements for client or product. This person must possess a
blend of business and technical knowledge, experience in process mapping and
must possess strong communication skills.

Primary
Responsibilities:

Requirements
Gathering & Analysis: Collaborate with stakeholders, including business
units, technical teams, and clients, to gather and document detailed business
requirements and process flows for health insurance systems, applications, and
processes.

Solution
Design & Implementation: Work closely with technical teams to translate
business requirements into functional specifications, user stories, and system
designs. Serve as the primary point of contact for development teams to ensure
all requirements are fully understood and addressed in system designs and
solutions.

Testing
& Quality Assurance: Support the testing process by ensuring business
requirements are correctly implemented, validating system functionality, and
conducting user acceptance testing (UAT).

Experience
working and managing a small remote development team.

Essential
Qualifications 

Experience:
10-15 years of experience as a Business Analyst in health insurance systems
and/or billing/payment systems.

Technical
Skills: Proficiency in MS Office and other business analysis tools (e.g.,
SQL/similar programming language, Microsoft Office Suite, Data Import/Export
tools).

Knowledge:
Deep understanding of the health insurance landscape, including Contribution
Accounting, Billing and Payments, and System Integrations.  Ability to
document requirements and process

Analytical
Skills: Strong problem-solving abilities with a keen eye for detail and a
data-driven approach to analysis.

Communication:
Excellent written and verbal communication skills with the ability to present
complex concepts to both technical and non-technical stakeholders.

Collaboration:
Proven ability to work cross-functionally with diverse teams, including IT,
business operations, external partners, and remote teams.

Healthcare
Certifications: Any relevant certifications in health insurance, healthcare
analytics, or related areas would be an advantage.

Contribution
Accounting Experience: Familiarity with Contribution Accounting, billing and
payment systems is a plus.

Strong
attention to detail and organizational skills.

Ability
to manage multiple tasks and prioritize effectively.

with a commitment to delivering high-quality solutions.

Ability
to adapt quickly to changing requirements and priorities.

Job Description:

GCP Experience

• recent GCP experience

• Experience building data pipelines in GCP

• GCP Dataproc, GCS & BIGQuery experience

• hands-on experience with developing data warehouse solutions and data products.

•hands-on experience developing a distributed data processing platform with Hadoop, Hive or Spark, Airflow or a workflow orchestration solution are required

• hands-on experience in modeling and designing schema for data lakes or for RDBMS platforms.

• Experience with programming languages: Python, Java, Scala, etc.

• Experience with scripting languages: Perl, Shell, etc.

• Practice working with, processing, and managing large data sets (multi TB/PB scale).

• Exposure to test driven development and automated testing frameworks.

• Background in Scrum/Agile development methodologies.

• Capable of delivering on multiple competing priorities with little supervision.

• Excellent verbal and written communication skills.

• Bachelor's Degree in computer science or equivalent experience.

The most successful candidates will also have experience in the following:

• Gitflow

• Atlassian products – BitBucket, JIRA, Confluence etc.

• Continuous Integration tools such as Bamboo, Jenkins, or TFS

12+ years for experience required
Experience as an SAP Project Manager with a successful track record of managing complex S/4 HANA upgrade projects.
Develop a detailed project plan including timelines, milestones, resource allocation, and risk mitigation strategies.
Define project scope, considering business requirements and technical limitations.
Deep understanding of SAP S/4 HANA functionalities across various modules (FI, CO, MM, SD, etc.) and their impact on upgrade process.
Lead the technical team in performing system analysis, data migration, and configuration changes necessary for the S/4 HANA upgrade.
Expertise in project management methodologies (Agile, Waterfall) and tools.
Strong analytical and problem-solving skills to identify and resolve technical challenges during the upgrade.
Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and stakeholders.
Collaborate with stakeholders to gather functional requirements and prioritize features for upgrade.
Familiarity with data migration strategies and tools for SAP upgrades.
Knowledge of SAP best practices and industry standards related to S/4 HANA upgrade
Experience in Pharma and Life Science industry with CSV documentation is needed

Job Description:
We are looking for a passionate and experienced Site Reliability Engineer (SRE) with a strong focus on observability as part of our Data Center Exit Program. The ideal candidate will be responsible for building and maintaining reliable systems, ensuring high availability, and improving the performance of our infrastructure. You will play a critical role in designing, implementing, and managing observability solutions to provide deep insights into systems and applications.
Key Responsibilities:
Design, implement, and maintain observability solutions, including monitoring, logging, and tracing systems.
Develop and maintain dashboards, alerts, and reports to monitor system performance and health.
Collaborate with development and operations teams to integrate observability into the software development lifecycle.
Troubleshoot and resolve issues related to system performance, reliability, and scalability.
Automate repetitive tasks and processes to improve efficiency and reduce manual intervention.
Continuously evaluate and improve observability tools and practices to ensure they meet organizational needs.
Document observability processes, best practices, and guidelines for the team.
Qualifications:
Bachelors degree in Computer Science, Engineering, or a related field, or equivalent experience.
5+ years of experience as a Site Reliability Engineer or in a similar role with a focus on observability.
Strong experience with Java J2EE and Microservices.
In-depth knowledge of observability tools and technologies, including Prometheus, Grafana, ELK Stack, Jaeger, etc.
Proficiency in scripting and automation using languages such as Python, Bash, or similar.
Experience with cloud platforms (GCP, Azure) and containerization technologies (Docker, Kubernetes).
Excellent problem-solving skills and the ability to work under pressure.
Strong communication and collaboration skills.
Preferred Qualifications:
Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
Familiarity with CI/CD pipelines and DevOps practices.
Knowledge of security best practices and compliance requirements.

Develop and implement comprehensive test strategies and plans.
Define test objectives, scope, and criteria for success.
Coordinate with project managers and development teams to ensure alignment with project goals.
Test Execution and Management:
Oversee the execution of manual and automated tests.
Ensure thorough regression testing is conducted to maintain software quality.
Manage test environments and ensure they are properly configured.
Automation and Tools:
Lead the development and maintenance of automated test scripts using Selenium and Python.
Identify opportunities to improve test automation coverage and efficiency.
Integrate automated tests into CI/CD pipelines.
Quality Assurance:
Monitor and report on test progress, defects, and overall quality metrics.
Collaborate with stakeholders to address and resolve issues promptly.
Retail Sector Focus:
Apply domain knowledge of the retail industry to ensure relevant and effective testing.
Understand retail-specific requirements and challenges to tailor testing approaches.
Strong knowledge of testing methodologies, tools, and automation frameworks.
Experience with web test automation tools such as Selenium
Familiarity with Agile development and DevOps testing environments.
Knowledge of CI/CD tools like Jenkins, Git, or Azure DevOps is a plus.
Knowledge of performance testing and load testing tools like JMeter.
Knowledge of scripting languages such as Python for web test automation
Knowledge of API testing tools like Postman or REST Assured.
Java, or JavaScript for test automation.
Experience with mobile test automation tools such as Appium

Mandatory
Skill sets

Technology expectations

o 5 + years of experience in Hadoop/Big Data

o 2+ years of experience in strategic data
planning, standards, procedures, and governance

o 4+ years of hands-on experience in Python or Scala

o 3+ years of experience in writing and tuning
SQLs, Spark queries

o Experience in understanding and managing
Hadoop Log Files, Hadoop multiple data processing engines.

o Experience in analysing data in HDFS through
Map Reduce, Hive and Pig

o Experience with scripting languages: Python,
Scala, etc.

o 3+ experience in GCP environment

Other
required skills

o Strong
verbal and written communication skills to effectively share findings with
shareholders.

o Good
understanding of web-based application development

o Should
be an independent contributor from day one.

o A
bachelors degree in computer science or relevant fields is mandatory.

o Should
be hands on and be able to work in an agile, fast moving environment.

Requirements:

·         Bachelor's degree in Computer Science, Engineering, or equivalent experience.

·         Proven experience as a Full Stack Developer, with a strong portfolio demonstrating Python-based projects, particularly AI-focused applications.

·         Proficiency in Python and experience with Python web frameworks

·         Experience with AI / Agentic frameworks and libraries

·         Familiarity with AI-related deployment in Azure cloud environments.

·         Experience building RESTful APIs using Python.

·         Strong understanding of SQL databases, with proficiency in writing efficient SQL queries and optimizing database interactions.

·         Experience in DevOps pipelines, including build, release, and CI/CD processes

·         Basic front-end development skills with a focus on integrating AI functionalities into web interfaces

·         Knowledge of version control systems (e.g., Git, Azure DevOps)

DevOps Engineer role

Proven experience as a DevOps Engineer or similar software engineering role.

Strong experience with Python and Groovy scripting languages.

Proficiency with Git, GitHub CLI, and GitHub Actions.

Experience with Azure Kubernetes Service (AKS) and managing containerized applications.

Expertise in using Azure Resource Manager (ARM) for Infrastructure as Code (IaC) to manage cloud resources.

Knowledge of integration and automation processes.

Strong problem-solving and teamwork skills.

Excellent verbal and written communication skills.

Well versed with dotnet core and noncore framework or scala or java as a programming language. Knowledge with No SQL and Distributed cache design will be a plus.
Knowledge of functional & object-oriented programming
Good knowledge & working skills with Data structures & algorithms.
Well versed with AWS cloud service and Serverless concepts. Knowledge of AWS Queue services is a plus.
Well versed to build large scale enterprise architecture.
Well versed with CI / CD tools. Knowledge with Jenkins and Stash will be a plus
Good in C# 5.x and higher.
Excellent in communication skills and cognitive analysis.
5+ years’ experience

Job Description:
The Backend Developer (Java & Node) is part of the Digital Technology Team. They are responsible for design, implementation and on-going enhancements of digital products and enhancing the digital experience. The developer must have a strong and continuously evolving technical mastery of RESTful API development focused on Node.js. This includes hands-on programming, participating in design sessions, code reviews, system testing during various phases of development, follow best industry practices and publish API documentations.

Looking for a Backend Services / API Developer skilled in programming server-side javascript running on Java & Nodejs Runtime. Experience in AWS Cloud ecosystem and worked with services like Lambda, API Gateway, CloudWatch, S3, etc. Backend services developers with programming experience such as Java, C# and Python are welcome to apply as long as the candidate is fluent enough to code in Javascript and work with MongoDB / No SQL Database. Full-stack developers (UI + Services) fluent in Javascript are also welcome to apply.

Responsibilities:

Design APIs, develop shippable code, documentation and unit test new features for digital products.
Works with fellow API Developers, Team Leads, Architects to deliver features through the creation of re-usable RESTful APIs.
Collaborate with Quality, Product and Cloud Engineering teams to keep digital assets fully functional, secure and up to date with business needs.
Perform pair programming, effectively communicate ideas with the team, assist in systems integration, performance testing and product releases
Implement policies, roles, data access controls, monitoring events, resolve system and data issues for continuous functioning of APIs

Required Skills:

Bachelors/4 Yr Degree
Must have 10+ years of API / Server-side development experience (Programmer, Backend Services developers, Middleware developers, Javascript(must), NodeJS, Java, C#, Backend Services Developer, AWS, Lambda, Serverless, MongoDB, Document Storage modeling, RDBMS Storage modeling.)
Must have 8 years of experience in cloud platforms (preferable AWS: both traditional EC2 and serverless Lambda), developing micro-services, CI/CD solutions (including Docker), message queue systems and background task management.
Must have 8 years of experience in developing NoSQL databases, designing data models and proficient in querying document stores (preferably MongoDB).
Knowledge in API security frameworks, token management and user access control including OAuth, JWT, OpenAPI, etc.
Must demonstrate strong programming skills in Javascript
Experience working with API Gateway, CDNs, API Performance testing, CI/CD pipelines and monitoring tools.
Ability to work in an Agile / SCRUM environment.
Self-directed with a start-up/entrepreneur mindset.
Ravenous about learning technology and problem solving.
Strong writing and communication skills.

Act as the primary contact person for communication and discussion of topics related to data management
timelines and deliverables; requests for out-of-scope tasks; and first line contact for technical or procedural
issues.
Perform hands-on data management tasks including, but not limited to, writing database design
specifications, test plans for user acceptance testing (UAT), and data transfer specifications. When these
tasks are assigned to Data Management support team members, the Principal Clinical Data Manager is
responsible for review or to provide data management oversight and approvals for the task performed to
ensure quality deliverable, including review of UAT plans to ensure accuracy and consistency among
projects. Facilitate and participate in UAT, as necessary.
Develop and maintain the Data Quality Review Plan (DQRP). Coordinate with programmers to complete the
programming and validation of the listings and summary tables as specified in the DQRP
Review data, issue queries, and resolve queries from various data sources (e.g., medical coding, medical
history, adverse events, procedures and medicinal products, and external data). Assist other Clinical
Research Organizations, Sponsor, or Investigative Sites with resolving queries.
Perform third party non-Case Report Form data management activities.
Plan, manage, and perform data processing and data management activities for assigned projects to
ensure tasks are performed in a timely manner and in compliance with trial Sponsors’ requirements.
Accurately and efficiently validate electronically captured data. Lead efforts in writing clear queries on
missing data and data points failing pre-defined range checks and/or logical checks.
Review databases edit check specifications for assigned studies. Lead efforts in developing and maintaining
standard database validation checks for common modules as well as for therapeutic/drug area specific
modules.
Perform training on the electronic data capture (EDC) system, dataflow, and quality control (QC) processes
to clinical trial personnel.
Develop and maintain the Data Management Plan (DMP). Document deviations from the DMP.
Ensures launch, delivery and completion of all Data Management activities and milestones according to
contractual agreement and relevant Standard Operating Procedures (SOPs), guidelines, and regulations
Provides project specific training to internal and external audiences as required
Trains and mentors’ data management staff, acts as a subject matter expert
Prepares input for, and participates in proposal bid defense meetings
Maintains proficiency in Data Management systems and processes through regular training. May
attend/represent the company at professional meetings/conferences