4+ Spark Jobs in Kolkata | Spark Job openings in Kolkata

At Oracle Health, we’re building the future of healthcare

At Oracle Health, we’re building the future of healthcare—cloud-native healthcare solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work, enabling better patient care while ensuring accurate, timely reimbursement.

We are modernizing Electronic Health Record and Clinical Analytics systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden.

We’re looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems.

You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery.

Responsibilities

Key Responsibilities

• Build and enhance data pipelines, ETL workflows, and transformations.
• Contribute to LLM/agent-based features and analytics use cases.
• Work with EHR/RCM datasets and support KPI/dashboard development.
• Learn and apply best practices in cloud, data engineering, and LLMOps.

Mandatory Qualifications

• BS/MS in Computer Science or equivalent.
• 4+ years of relevant software engineering experience.
• Strong software engineering skills in Python/Java.
• Strong knowledge of SQL.
• Deep expertise in data engineering: ETL, data transformation, data modelling (Spark, SQL), hands-on experience in BI.
• Experience building high-scale distributed data systems.
• Cloud experience (OCI/AWS/Azure).
• Experience with creating major new functionality in a software system all the way from design, through development and testing to production deployment.
• Experience with collaborating across multiple functional areas to develop components that are part of a larger system.
• Experience with LLMs, prompt engineering, and agent frameworks.
• Experience with blending hands-on coding with smart adoption of AI-driven solutions to rapidly prototype, test, iterate, and deliver reliable code.
• Experience using ChatGPT, Claude, or similar models on a routine basis to improve productivity.

Preferred Qualifications

• Experience with agentic architectures or GenAI platforms.
• Background in healthcare or digital health systems.
• Understanding of EHR systems and RCM workflows.
• Familiarity with healthcare coding standards (ICD/CPT).

Job Title: PySpark/Scala Developer

Functional Skills: Experience in Credit Risk/Regulatory risk domain

Technical Skills: Spark ,PySpark, Python, Hive, Scala, MapReduce, Unix shell scripting

Good to Have Skills: Exposure to Machine Learning Techniques

Job Description:

5+ Years of experience with Developing/Fine tuning and implementing programs/applications

Using Python/PySpark/Scala on Big Data/Hadoop Platform.

Roles and Responsibilities:

a)     Work with a Leading Bank’s Risk Management team on specific projects/requirements pertaining to risk Models in

 consumer and wholesale banking

b)     Enhance Machine Learning Models using PySpark or Scala

c)     Work with Data Scientists to Build ML Models based on Business Requirements and Follow ML Cycle to Deploy them all

the way to Production Environment

d)     Participate Feature Engineering, Training Models, Scoring and retraining

e)     Architect Data Pipeline and Automate Data Ingestion and Model Jobs

Skills and competencies:

Required:

·       Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance

Data and macro-economic data to solve business problems.

·       Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in

Credit Risk/Banking

·       Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.

• Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
• Experience in systems integration, web services, batch processing
• Experience in migrating codes to PySpark/Scala is big Plus
• The ability to act as liaison conveying information needs of the business to IT and data constraints to the business

applies equal conveyance regarding business strategy and IT strategy, business processes and work flow

·       Flexibility in approach and thought process

·       Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED

Skills and competencies:

Required:

·        Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance

Data and macro-economic data to solve business problems.

·        Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in

Credit Risk/Banking

·        Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.

• Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
• Experience in systems integration, web services, batch processing
• Experience in migrating codes to PySpark/Scala is big Plus
• The ability to act as liaison conveying information needs of the business to IT and data constraints to the business

applies equal conveyance regarding business strategy and IT strategy, business processes and work flow

·        Flexibility in approach and thought process

·        Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED