Business Development Executive

Oracle EBS HCM Analyst

Position Description

We are seeking an experienced Techno-Functional Oracle EBS HCM Analyst with deep expertise in HR, Payroll, and OTL (Oracle Time & Labor) modules. The ideal candidate will have a strong understanding of both business processes and technical configurations, ensuring seamless integration, support, and optimization of the Oracle EBS HCM system across multiple GREs and payrolls.

Key Responsibilities:

Configure, maintain, and support Oracle EBS HCM modules including Core HR, Payroll, and OTL.

Manage and support multiple payrolls across several GREs, ensuring accuracy and compliance with organizational and statutory requirements.

Develop, troubleshoot, and optimize Payroll Fast Formulas and related functions.

Ensure compliance with federal and state tax withholding rules and minimum wage regulations.

Perform data validation, extracts, and reporting using SQL and other tools.

Create and maintain end-user documentation, training materials, and functional specifications.

Handle Service Requests (SRs) — creation, tracking, and resolution through Oracle Support or internal teams.

Collaborate with cross-functional teams to support IT and regression testing for patches, upgrades, and other system changes.

Analyze and resolve technical and functional issues impacting HR, Payroll, and OTL operations.

Partner with HR and Payroll business users to identify improvement opportunities and implement system enhancements.

Required Skills & Qualifications:

15+ years of techno-functional experience in Oracle EBS HCM (R12 or higher).

In-depth understanding of HR, Payroll, and OTL configurations and schemas.

Strong experience with Payroll Fast Formulas and core payroll functions.

Expertise in SQL for queries, data validation, and reporting.

Sound knowledge of tax rules, wage compliance, and statutory requirements.

Proven ability to support multiple GREs and payrolls simultaneously.

Experience with testing processes — IT, UAT, and regression testing.

Strong documentation, training, and communication skills.

Proven track record of handling SR lifecycle management effectively.

Nice to Have:

Experience with Oracle EBS R12.2 or higher versions.

Familiarity with Oracle Cloud HCM (for potential migration or hybrid environments).

Exposure to integration tools (e.g., WebADI, BI Publisher, or OTBI).

• Model Development and Deployment:
• Design, develop, and implement machine learning models for various applications (e.g., classification, regression, natural language processing, computer vision).
• Deploy and maintain machine learning models in production environments.
• Optimize model performance and efficiency through feature engineering, hyperparameter tuning, and model selection.
• Build and maintain scalable machine learning pipelines.
• Data Engineering and Management:
• Work with large datasets, including data cleaning, preprocessing, and feature extraction.
• Develop and maintain data pipelines for data ingestion, transformation, and storage.
• Ensure data quality and consistency.

We are seeking a highly skilled and motivated Data Scientist to join our team. You will be responsible for extracting insights from complex data sets, developing predictive models, and communicating findings to drive data-informed decision-making within the organization. The ideal candidate will have a strong background in statistics, machine learning, and data visualization, as well as excellent problem-solving and communication skills.

Responsibilities:

• Data Collection and Cleaning: Gather, clean, and preprocess data from various sources, ensuring data quality and integrity.
• Exploratory Data Analysis (EDA): Conduct EDA to understand data distributions, identify patterns, and uncover insights.
• Feature Engineering: Select, transform, and create relevant features to improve model performance.
• Model Development: Develop and implement machine learning models for prediction, classification, and other analytical tasks.
• Model Evaluation and Selection: Evaluate model performance using appropriate metrics and select the best model based on business requirements.
• Model Deployment and Monitoring: Deploy models into production and monitor their performance over time.

Job Description

1. Solid technical skills with a proven and successful history working with data at scale and empowering organizations through data
2. Big data processing frameworks: Spark, Scala, Hadoop, Hive, Kafka, EMR with Python
3. Advanced experience and hands-on architecture and administration experience on big data platforms

Key Responsibilities: 

• Rewrite existing APIs in NodeJS. 
• Remodel the APIs into Micro services-based architecture. 
• Implement a caching layer wherever possible. 
• Optimize the API for high performance and scalability. 
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required: 

• At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds. 
• Excellent hands-on experience using MySQL or any other SQL Database. 
• Good knowledge of MongoDB or any other NoSQL Database. 
• Good knowledge of Redis, its data types, and their use cases. 
• Experience with graph-based databases like GraphQL and Neo4j. 
• Experience developing and deploying REST APIs. 
• Good knowledge of Unit Testing and available Test Frameworks. 
• Good understanding of advanced JS libraries and frameworks. 
• Experience with Web sockets, Service Workers, and Web Push Notifications. 
• Familiar with NodeJS profiling tools. 
• Proficient understanding of code versioning tools such as Git. 
• Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms. 
• Should be a fast learner and a go-getter — without any fear of trying out new things Preferences. 
• Experience building a large scale social or location-based app.