Mandatory Skills :Java, SpringBoot, Webservices SOAP/Rest, Database, SQL, VueJs, Design & Solutioning, CI/CD, Copilot Prompting, kubernetes, Docker
Design, develop, and maintain high-throughput, scalable applications using Java-based technologies.
Build and expose RESTful services ensuring performance, security, and reliability.
Develop enterprise applications using Spring & Spring Boot frameworks.
Analyze business requirements and translate them into technical solutions.
Optimize application performance, including database interactions and system bottlenecks.
Implement unit testing and automated testing strategies to ensure code quality.
Collaborate with cross-functional teams for solution design, deployment, and troubleshooting.
Work on GCP Cloud-based solutions, including deployment, monitoring, and scalability enhancements.
Ensure adherence to coding standards, design patterns, and best practices.
Participate in production support, incident resolution, and continuous improvement initiatives.
Responsibilities
Required Technical Skills
Strong expertise in Core Java (multithreading, collections, performance tuning)
Experience in REST API development and integration
Proficiency in Spring Framework & Spring Boot
Solid understanding of database concepts (SQL/Oracle or similar)
Hands-on experience with Unit Testing frameworks (JUnit/Mockito or similar)
Experience in designing high-throughput, distributed systems
Knowledge of GCP Cloud technologies (Compute Engine, Kubernetes, Cloud Run, etc.)
Familiarity with CI/CD pipelines and DevOps practices
Strong problem-solving and solution-oriented mindset
Experience with microservices architecture
Exposure to containerization (Docker/Kubernetes)
Salary : Rs. 22,00,000.0 - Rs. 26,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Title: Palantir Foundry Developer
Experience: 3–5 Years (including 2–3 years in Palantir Foundry)
Job Summary
We are looking for a Palantir Foundry Developer to design, build, and maintain data pipelines and analytical solutions on the Palantir Foundry platform. The ideal candidate should have strong data engineering expertise, hands-on Foundry experience, and proficiency in Python and SQL.
Key Responsibilities
• Develop and maintain data pipelines and workflows in Palantir Foundry.
• Build data models and transform data into actionable insights.
• Collaborate with business analysts, data scientists, and stakeholders to deliver solutions.
• Ensure data quality, governance, security, and compliance.
• Troubleshoot data ingestion, transformation, and visualization issues.
• Create and maintain technical documentation.
• Support integration with enterprise systems and external data sources.
• Participate in code reviews and continuous improvement initiatives.
Required Skills
• 3–5 years of Data Engineering/Analytics experience.
• 2–3 years of hands-on experience with Palantir Foundry.
• Experience with Code Workbook, Pipeline Builder, Object Explorer and Ontology and Data Lineage concepts
• Strong skills in Python, SQL, ETL, and data modeling.
• Knowledge of data governance and pipeline optimization.
• Strong problem-solving, communication, and collaboration skills.
• Familiarity with AWS, Azure, or GCP is an added advantage.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Senior Software Engineer - Python - (26000BEM)
Missions
MSA: Lead Data Engineer - Databricks - Special
Mission :
Build modern data platforms that underpin bank’s ambitions for next phase of growth.
Main Responsibilities :
Design and implement scalable Lakehouse architecture using Databricks, Delta Lake, and Cloud Storage.
Develop robust ETL/ELT pipelines using PySpark, Spark SQL, and Databricks Notebooks.
Integrate Databricks with Cloud Services (AWS/Azure) including storage, IAM, and event services.
Implement Unity Catalog, Data Lineage, Access Governance, and Auditing Standards.
Define and enforce data quality, observability, and FinOps monitoring.
Profile : 7–10 years of IT experience with min 4 yrs exp in designing, building, and optimizing large-scale data processing solutions on the Databricks Platform
Skills: DBX, PySpark, Spark SQL, Delta Lake, SQL Warehouse, Cloud Platforms (AWS/Azure), CI/CD, Data Governance
Preferred: DBX Certification, MLFlow
Functional background: Experience in Banking and Financial Services - particularly within Corporate Functions domain
Methodology: Agile
Behavioural Skills:
Ability to work in a cross-cultural team with multi geographical locations.
Ability to communicate (verbal and written) effectively with counterparts in SG Paris
Profile
Main Responsibilities :
Design and implement scalable Lakehouse architecture using Databricks, Delta Lake, and Cloud Storage.
Develop robust ETL/ELT pipelines using PySpark, Spark SQL, and Databricks Notebooks.
Integrate Databricks with Cloud Services (AWS/Azure) including storage, IAM, and event services.
Implement Unity Catalog, Data Lineage, Access Governance, and Auditing Standards.
Define and enforce data quality, observability, and FinOps monitoring.
Profile : 7–10 years of IT experience with min 4 yrs exp in designing, building, and optimizing large-scale data processing solutions on the Databricks Platform
Skills: DBX, PySpark, Spark SQL, Delta Lake, SQL Warehouse, Cloud Platforms (AWS/Azure), CI/CD, Data Governance
Preferred: DBX Certification, MLFlow
Functional background: Experience in Banking and Financial Services - particularly within Corporate Functions domain
Methodology: Agile
Responsibilities
Clarity – They do not need Data Engineers.
They need Python Development resources (Django, Flask) with Pyspark knowledge is fine. (DevOps experience they should have)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Senior Software Engineer- Python - (26000BEM)
HCM Payroll India Tester Location: Bangalore (Onsite) Experience: 2-3 years Responsibilities: Conduct end-to-end testing of HCM Payroll processes for India payroll. Validate payroll configurations, calculations, and statutory compliance. Identify, document, and track defects to resolution. Collaborate with functional and technical teams to ensure accurate payroll processing. Prepare and execute test cases, scenarios, and test scripts. Requirements: 2-3 years of experience in HCM Payroll India testing. Strong knowledge of India payroll rules and statutory requirements. Experience with SAP SuccessFactors or similar HCM payroll systems preferred. Good analytical and communication skills. Ability to work onsite in Bangalore.
Responsibilities
HCM Payroll India Tester Location: Bangalore (Onsite) Experience: 2-3 years Responsibilities: Conduct end-to-end testing of HCM Payroll processes for India payroll. Validate payroll configurations, calculations, and statutory compliance. Identify, document, and track defects to resolution. Collaborate with functional and technical teams to ensure accurate payroll processing. Prepare and execute test cases, scenarios, and test scripts. Requirements: 2-3 years of experience in HCM Payroll India testing. Strong knowledge of India payroll rules and statutory requirements. Experience with SAP SuccessFactors or similar HCM payroll systems preferred. Good analytical and communication skills. Ability to work onsite in Bangalore.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Define end-to-end Teamcenter PLM solution design
• Design item lifecycle (final and temporary workflows) in Teamcenter.
• Define the Teamcenter release process.
• Automate ECN (Engineering Change Notice) workflows in Teamcenter.
• Enable Google Sheets synchronization with Teamcenter.
• Plan and execute Teamcenter data migration.
• Translate business requirements into Teamcenter configuration and customizations
Responsibilities
• Define end-to-end Teamcenter PLM solution design
• Design item lifecycle (final and temporary workflows) in Teamcenter.
• Define the Teamcenter release process.
• Automate ECN (Engineering Change Notice) workflows in Teamcenter.
• Enable Google Sheets synchronization with Teamcenter.
• Plan and execute Teamcenter data migration.
• Translate business requirements into Teamcenter configuration and customizations
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description - Lead Software Engineer - Python (26000BEL)
Lead Software Engineer - Python - (26000BEL)
Missions
MSA: Lead Data Engineer - Databricks - Special
Mission :
Build modern data platforms that underpin bank’s ambitions for next phase of growth.
Main Responsibilities :
Design and implement scalable Lakehouse architecture using Databricks, Delta Lake, and Cloud Storage.
Develop robust ETL/ELT pipelines using PySpark, Spark SQL, and Databricks Notebooks.
Integrate Databricks with Cloud Services (AWS/Azure) including storage, IAM, and event services.
Implement Unity Catalog, Data Lineage, Access Governance, and Auditing Standards.
Define and enforce data quality, observability, and FinOps monitoring.
Profile : 7–10 years of IT experience with min 4 yrs exp in designing, building, and optimizing large-scale data processing solutions on the Databricks Platform
Skills: DBX, PySpark, Spark SQL, Delta Lake, SQL Warehouse, Cloud Platforms (AWS/Azure), CI/CD, Data Governance
Preferred: DBX Certification, MLFlow
Functional background: Experience in Banking and Financial Services - particularly within Corporate Functions domain
Methodology: Agile
Behavioural Skills:
Ability to work in a cross-cultural team with multi geographical locations.
Ability to communicate (verbal and written) effectively with counterparts in SG Paris
Profile
Main Responsibilities :
Design and implement scalable Lakehouse architecture using Databricks, Delta Lake, and Cloud Storage.
Develop robust ETL/ELT pipelines using PySpark, Spark SQL, and Databricks Notebooks.
Integrate Databricks with Cloud Services (AWS/Azure) including storage, IAM, and event services.
Implement Unity Catalog, Data Lineage, Access Governance, and Auditing Standards.
Define and enforce data quality, observability, and FinOps monitoring.
Profile : 7–10 years of IT experience with min 4 yrs exp in designing, building, and optimizing large-scale data processing solutions on the Databricks Platform
Skills: DBX, PySpark, Spark SQL, Delta Lake, SQL Warehouse, Cloud Platforms (AWS/Azure), CI/CD, Data Governance
Preferred: DBX Certification, MLFlow
Functional background: Experience in Banking and Financial Services - particularly within Corporate Functions domain
Methodology: Agile
Responsibilities
Clarity – They do not need Data Engineers.
They need Python Development resources (Django, Flask) with Pyspark knowledge is fine. (DevOps experience they should have)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Lead Software Engineer - Python - (26000BEL)
