BA-Foundational, Business Consulting-Foundational, Corporate banking, Entitlement, Payment Inititiation, Subscription Management, Corporate banking Website, Mobile banking App functionality, Omni-Channel communications, APIs, Host-to-host (H2H), Corporate banking File upload

Key Responsibilities: Collaborate with business stakeholders, data architects, and IT teams to gather and understand data migration requirements. Analyze legacy banking and insurance systems (e.g., core banking, policy admin, claims, CRM) to identify data structures and dependencies. Work with large-scale datasets and understand big data architectures (e.g., Hadoop, Spark, Hive) to support scalable data migration and transformation. Perform data profiling, cleansing, and transformation using SQL and ETL tools, with the ability to understand and write complex SQL queries and interpret the logic implemented in ETL workflows. Develop and maintain data mapping documents and transformation logic specific to financial and insurance data (e.g., customer KYC, transactions, policies, claims). Validate migrated data against business rules, regulatory standards, and reconciliation reports. Support UAT by preparing test cases and validating migrated data with business users. Ensure data privacy and security compliance throughout the migration process. Document issues, risks, and resolutions related to data quality and migration. Required Skills & Qualifications: Bachelor's degree in Computer Science, Information Systems, Finance, or a related field. 5+ years of experience in data analysis or data migration projects in banking or insurance. Strong SQL skills and experience with data profiling and cleansing. Familiarity with ETL tools (e.g., Informatica, Talend, SSIS) and data visualization tools (e.g., Power BI, Tableau). Experience working with big data platforms (e.g., Hadoop, Spark, Hive) and handling large volumes of structured and unstructured data. Understanding of banking and insurance data domains (e.g., customer data, transactions, policies, claims, underwriting). Knowledge of regulatory and compliance requirements (e.g., AML, KYC, GDPR, IRDAI guidelines). Excellent analytical, documentation, and communication skills. Preferred Qualifications: Experience with core banking systems (e.g., Finacle, Flexcube) or insurance platforms Exposure to cloud data platforms (e.g.,AWS, Azure, GCP). Experience working in Agile/Scrum environments. Certification in Business Analysis (e.g., CBAP, CCBA) or Data Analytics.

SDET Data Test Automation Engineer We are seeking a highly skilled SDET Data Test Automation Engineer with API and UI testing experience to join our dynamic team. The primary focus of this role is to ensure the integrity of data transformations on our data platform, which works with large datasets, and to enhance our testing capabilities with UI and API automation. The candidate will work closely with development and product teams to deliver robust, scalable and high-performing data test tools. Design, develop and maintain automated test scripts for data validation, transformation, API and UI testing Conduct data testing using Python frameworks like Pandas, PySpark, Pytest UI & API test automation using Playwright and Requests Collaborate with development and product teams to identify test requirements and strategies Analyze test results, identify issues and work on resolutions Ensure that automated tests are integrated into the CI/CD pipeline Validate large datasets to ensure data integrity and performance Work on data transformation processes, including validating rule-based column replacements and exception handling Required Skills: Strong programming skills in Python Proficiency in data manipulation and testing libraries like Pandas, PySpark, Pytest Hands-on experience with AWS services like S3, Lambda Familiarity with SQL for data transformation tasks Strong experience with API and UI test automation tools and libraries Excellent problem-solving and analytical skills Strong communication and teamwork abilities Preferred Skills: Good to have experience with databases like Trino, Iceberg, Snowflake and Postgres Good to have experience on Polars, Fugue Familiarity with CI/CD pipelines and tools like Jenkins, Docker, Kubernetes Experience with cloud tools like Kubernetes, EKS, AWS Glue, ECS Qualification We are seeking a highly skilled SDET Data Test Automation Engineer with API and UI testing experience to join our dynamic team. The primary focus of this role is to ensure the integrity of data transformations on our data platform, which works with large datasets, and to enhance our testing capabilities with UI and API automation. The candidate will work closely with development and product teams to deliver robust, scalable and high-performing data test tools. Design, develop and maintain automated test scripts for data validation, transformation, API and UI testing Conduct data testing using Python frameworks like Pandas, PySpark, Pytest UI & API test automation using Playwright and Requests Collaborate with development and product teams to identify test requirements and strategies Analyze test results, identify issues and work on resolutions Ensure that automated tests are integrated into the CI/CD pipeline Validate large datasets to ensure data integrity and performance Work on data transformation processes, including validating rule-based column replacements and exception handling Required Skills: Strong programming skills in Python Proficiency in data manipulation and testing libraries like Pandas, PySpark, Pytest Hands-on experience with AWS services like S3, Lambda Familiarity with SQL for data transformation tasks Strong experience with API and UI test automation tools and libraries Excellent problem-solving and analytical skills Strong communication and teamwork abilities Preferred Skills: Good to have experience with databases like Trino, Iceberg, Snowflake and Postgres Good to have experience on Polars, Fugue Familiarity with CI/CD pipelines and tools like Jenkins, Docker, Kubernetes Experience with cloud tools like Kubernetes, EKS, AWS Glue, ECS

Job Title: ETL Tester Location: Chennai & Hyderabad Work Mode Hybrid Work Timings 2:00 PM to 11:00 PM (IST) Key Responsibilities As an ETL Tester, you will: QA Testing & Automation: Conduct comprehensive QA testing, including automation, for data solutions. SQL Querying & Application: Apply strong SQL scripting knowledge, writing and executing queries for testing, and demonstrating in-depth understanding of SQL queries for QA testing. Test Suite Management: Maintain existing regression suites and test scripts. Agile Participation: Actively participate in Agile meetings, including backlog refinement, sprint planning, and daily scrum meetings. Reporting: Provide clear and concise test results to developers, project managers, stakeholders, and manual testers. Business Needs Analysis: Examine business needs to determine appropriate testing techniques. Mandatory Skills & Experience Technical Proficiency: SQL: Strong SQL Scripting knowledge and in-depth understanding of SQL queries for testing. ETL Knowledge: Strong understanding of ETL Concepts . Data Warehousing: Strong knowledge of Data Warehousing Concepts (DWH) . Python: Knowledge in Python . Automation Testing: Experience with automation testing techniques. Programming Languages (Desirable): Proficiency in relevant programming languages used by development teams (e.g., C#, Perl, Java, XML, CSS, HTML). Testing Tools (Desirable): Experience with Selenium testers working with QTP or UFT. Experience & Qualifications: Proven experience as a QA Tester with a focus on ETL. Essential Professional Skills Ability to examine business needs to determine testing techniques. Ability to provide results effectively to various stakeholders.

Design, develop, and maintain ETL processes using Microsoft SSIS . Write efficient and scalable T-SQL scripts for data manipulation and querying. Develop reports and dashboards using SSRS to support business intelligence needs. Perform data modeling and create optimized database structures to support business analytics. Conduct root cause analysis on internal/external data to resolve data issues and improve data quality. Collaborate directly with business users to gather requirements and deliver reliable data solutions. Requirements 5+ years of experience in a data engineering or related role. Strong experience with Microsoft SQL Server , T-SQL , SSIS , and SSRS . Basic familiarity with C# is preferred. Ability to manage data transformation , metadata , and workflow dependencies . Excellent analytical , logical reasoning , and problem-solving skills. Strong communication skills and ability to work independently with business users.

ob Title: ETL Tester Work Mode Hybrid Work Timings 2:00 PM to 11:00 PM (IST) Key Responsibilities As an ETL Tester, you will: QA Testing & Automation: Conduct comprehensive QA testing, including automation, for data solutions. SQL Querying: Apply strong SQL scripting knowledge to write and execute queries for testing purposes. Test Suite Management: Maintain existing regression suites and test scripts. Agile Participation: Actively participate in Agile meetings, including backlog refinement, sprint planning, and daily scrum meetings. Reporting: Provide clear and concise test results to developers, project managers, stakeholders, and manual testers. Business Needs Analysis: Examine business needs to determine appropriate testing techniques. Mandatory Skills & Experience Technical Proficiency: SQL: Strong SQL scripting knowledge and in-depth understanding of writing and applying SQL queries for QA testing. ETL Knowledge: Strong understanding of ETL Concepts . Data Warehousing: Strong knowledge of Data Warehousing Concepts (DWH) . Python: Knowledge in Python . Automation Testing: Experience with automation testing techniques. Programming Languages (Desirable): Proficiency in relevant programming languages used by development teams (e.g., Python, C#, Perl, Java, XML, SQL, CSS, HTML). Testing Tools (Desirable): Experience with Selenium testers working with QTP or UFT. Experience & Qualifications: Proven experience as a QA Tester with a focus on ETL. Essential Professional Skills Ability to examine business needs to determine testing techniques. Ability to provide results effectively to various stakeholders.

Job Title: QA Automation Engineer Location Chennai & Hyderabad, India Work Mode Hybrid Work Timings 2:00 PM to 11:00 PM IST Experience Level 3+ years Key Responsibilities As a QA Automation Engineer, you will: Test Script Development: Develop and maintain automated test scripts using Java, Selenium, and RestAssured. Automation Strategy: Write and execute Selenium-based UI automation scripts for end-to-end testing. Testing Execution: Perform functional, regression, and performance testing of web applications and APIs. CI/CD Integration: Integrate automated tests into CI/CD pipelines using Jenkins, GitHub Actions, or other tools. API Testing: Utilize knowledge of API testing tools like Postman, Swagger, or SoapUI for comprehensive API validation. Mandatory Skills & Experience Technical Proficiency: QA Automation: Strong proficiency in QA Automation principles and practices. Java: Strong proficiency in Java programming language. Selenium: Extensive experience with Selenium WebDriver for UI automation. API Automation: Experience with RestAssured for API automation. CI/CD Tools: Experience integrating automated tests into CI/CD pipelines using Jenkins, GitHub Actions, or other tools. API Testing Tools: Knowledge of API testing tools like Postman, Swagger, or SoapUI . Experience & Qualifications: 3+ years of experience in QA Automation. Essential Professional Skills Ability to perform functional, regression, and performance testing. Strong problem-solving and analytical skills.

Review and contribute to requirements analysis and agile story grooming to ensure testability. Determine Test automation strategy based on requirements analysis. Design and develop Test Automation Scripts using Selenium Web Driver with C# Report testing status to QA Manager and Project Team daily/weekly. Design, automate and execute UI test cases and web service test cases. Work with the developers, testers, and program managers to ensure application stability and requirements coverage. Must be able to work in a fast-paced environment often with short QA cycles. Guide offshore automation team and act as the front end for the client. Qualification Review and contribute to requirements analysis and agile story grooming to ensure testability. Determine Test automation strategy based on requirements analysis. Design and develop Test Automation Scripts using Selenium Web Driver with C# Report testing status to QA Manager and Project Team daily/weekly. Design, automate and execute UI test cases and web service test cases. Work with the developers, testers, and program managers to ensure application stability and requirements coverage. Must be able to work in a fast-paced environment often with short QA cycles. Guide offshore automation team and act as the front end for the client.

Qualification We are looking for a talented Java Full Stack Developer with 8 years to 12 years expertise including ReactJS to join our team. The ideal candidate will be responsible for developing and maintaining high-quality web applications, ensuring seamless integration of front-end and back-end components. Design, develop, and maintain web applications using Java and ReactJS. Collaborate with UX/UI designers to implement user-friendly interfaces. Integrate front-end components with back-end services. Write clean, scalable, and efficient code Participate in code reviews and provide constructive feedback. Identify and resolve performance and scalability issues. Stay updated with emerging trends and technologies in software development.

Roles and Responsibilities: Design, develop, and maintain high-performance, scalable Java applications using Java, Spring Boot and React/Angular. Build REST APIs and SDKs. Should be excellent in Java, OOPS concepts & Java Collections. Should be excellent in Spring Boot/Spring/hibernate. Strong proficiency in Java and related frameworks (e.g., Spring, Hibernate). Should have worked on REST API implementation and microservices implementation Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Experience in AWS, Docker and Kubernetes. Knowledge of microservices architecture. Familiarity with CI/CD pipelines and DevOps practices. Excellent communication skills Ability to work effectively in a fast-paced, collaborative environment.

We are seeking a highly skilled Data Engineer with deep expertise in PySpark and the Cloudera Data Platform (CDP) to join our data engineering team. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines that ensure high data quality and availability across the organization. This role requires a strong background in big data ecosystems, cloud-native tools, and advanced data processing techniques. The ideal candidate has hands-on experience with data ingestion, transformation, and optimization on the Cloudera Data Platform, along with a proven track record of implementing data engineering best practices. You will work closely with other data engineers to build solutions that drive impactful business insights. Responsibilities Data Pipeline Development: Design, develop, and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform, ensuring data integrity and accuracy. Data Ingestion: Implement and manage data ingestion processes from a variety of sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP. Data Transformation and Processing: Use PySpark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements. Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes. Data Quality and Validation: Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline. Automation and Orchestration: Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem. Education and Experience Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. 3+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform. Technical Skills PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques. Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase. Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala). Big Data Technologies: Familiarity with Hadoop, Kafka, and other distributed computing tools. Orchestration and Scheduling: Experience with Apache Oozie, Airflow, or similar orchestration frameworks. Scripting and Automation: Strong scripting skills in Linux.

Job Title: DBT Data Engineer Key Responsibilities As a DBT Data Engineer, you will: SQL Development & Optimization: Apply strong SQL skills, including Common Table Expressions (CTE), for data manipulation and optimization. Database Management: Utilize Snowflake or equivalent strong database experience for data handling, including SQL tuning. DBT Implementation: Work with DBT Core or DBT Cloud for data transformation and modeling. Development Best Practices: Adhere to and promote development best practices, including peer reviews and unit testing. Data Modeling: Apply fundamental data modeling concepts such as 3NF, Star, Snowflake schemas, and understanding the grain of data. Data Analysis & Profiling: Perform data analysis and data profiling tasks to ensure data quality and understanding. Mandatory Skills & Experience Strong SQL skills , including Common Table Expressions (CTE). Experience with Snowflake or very strong database experience , including SQL tuning. Experience in DBT Core or DBT Cloud . Good understanding of development best practices, peer reviews, and unit testing . Understanding of fundamental data modeling concepts such as 3NF, Star, Snowflake schemas, and the grain of data. Experience in Data Analysis and Data Profiling tasks.

Job Title: Adobe Campaign Developer Experience Level P1, C1, STS (At least 5+ years of experience) Key Responsibilities As an Adobe Campaign Developer, you will: Campaign & Workflow Development: Design, develop, and implement complex marketing workflows in Adobe Campaign Classic (v8) to automate marketing processes and customer journeys. Campaign Execution & Management: Configure and manage campaign execution, including audience segmentation, personalization, and delivery across various channels (email, SMS, direct mail, etc.). System Integrations: Develop and maintain integrations between Adobe Campaign and other systems (CRM, AEP, analytics platforms, data warehouses, third-party marketing technologies) using APIs and other integration methods. Data Model & Schema Management: Understand and work with Adobe Campaign schemas and the underlying data model to ensure data integrity and effective targeting. Troubleshooting & Resolution: Troubleshoot and resolve issues related to campaign execution, data integration, and platform performance. Requirements Translation: Collaborate with marketing teams to understand their requirements and translate them into technical solutions within Adobe Campaign. Documentation: Develop and maintain technical documentation related to campaign workflows, integrations, and configurations. Platform Enhancement: Participate in the planning and execution of platform upgrades and enhancements. Compliance: Ensure compliance with data privacy regulations and best practices. Continuous Learning: Stay up-to-date with the latest features and best practices within Adobe Campaign. Mandatory Skills & Experience Technical Proficiency: Adobe Campaign Classic (v8): Deep understanding of the Adobe Campaign platform, including complex workflow development, data models, and API interactions. Workflow Design: Proven ability to design, develop, and implement complex marketing workflows to automate processes and customer journeys. Campaign Configuration: Experience configuring and managing campaign execution, audience segmentation, personalization, and cross-channel delivery. Integration Expertise: Strong technical proficiency in developing and maintaining integrations with CRM, AEP, analytics platforms, data warehouses, and third-party systems using APIs. Data Models: Understanding of Adobe Campaign schemas and underlying data models for data integrity and targeting. Troubleshooting: Ability to troubleshoot and resolve issues related to campaign execution, data integration, and platform performance. Documentation: Experience in developing and maintaining technical documentation for workflows, integrations, and configurations. Adobe Journey Optimizer (AJO): Experience with AJO is a significant plus. Experience & Qualifications: At least 5+ years of experience as an Adobe Campaign Developer or a similar role. Proven responsibility for the development, implementation, and maintenance of complex marketing campaigns and workflows within Adobe Campaign Classic (version 8). Essential Professional Skills Ability to collaborate effectively with marketing teams to translate requirements into technical solutions. Commitment to staying up-to-date with latest features and best practices . Attention to data privacy regulations and best practices .

Integration Development: Design and implement integration solutions using MuleSoft Anypoint Platform for various enterprise applications, including ERP, CRM, and third-party systems. API Management: Develop and manage APIs using MuleSofts API Gateway, ensuring best practices for API design, security, and monitoring. MuleSoft Anypoint Studio: Develop, deploy, and monitor MuleSoft applications using Anypoint Studio and Anypoint Management Console. Data Transformation: Use MuleSofts DataWeave to transform data between various formats (XML, JSON, CSV, etc.) as part of integration solutions. Troubleshooting and Debugging: Provide support in troubleshooting and resolving integration issues and ensure the solutions are robust and scalable. Collaboration: Work closely with other developers, business analysts, and stakeholders to gather requirements, design, and implement integration solutions. Documentation: Create and maintain technical documentation for the integration solutions, including API specifications, integration architecture, and deployment processes. Best Practices: Ensure that the integrations follow industry best practices and MuleSofts guidelines for designing and implementing scalable and secure solutions. Required Qualifications: Bachelors degree in computer science, Information Technology, or a related field. 3+ years of experience in MuleSoft development and integration projects. Proficiency in MuleSoft Anypoint Platform, including Anypoint Studio, Anypoint Exchange, and Anypoint Management Console. Strong knowledge of API design and management, including REST, SOAP, and Web Services. Proficiency in DataWeave for data transformation. Hands-on experience with integration patterns and technologies such as JMS, HTTP/HTTPS, File, Database, and Cloud integrations. Experience with CI/CD pipelines and deployment tools such as Jenkins, Git, and Maven. Good understanding of cloud platforms (AWS, Azure, or GCP) and how MuleSoft integrates with cloud services. Excellent troubleshooting and problem-solving skills. Strong communication skills and the ability to work effectively in a team environment.

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Expertise in development using Core Java, J2EE, XML, Web Service and used Java. frameworks - Spring, spring batch, Spring-boot, JPA, REST, MQ. Knowledgeable in developing RESTful micro services with technical stack, Amazon 3, API Gateway, amazon aurora, ALB, and Route 53 extencive knowledge and implementation experience Working with GIT/Bitbucket, Maven, Gradle, Jenkins tools to build and deploy code deployment to production environments. Hands on for CI/CD Kubarnatees handas on experience

Job Title: Business Development Specialist Key Responsibilities As a Business Development Specialist, you will: Consulting & Analysis: Perform consulting activities such as industry, company, trend, and competitor analysis, user journey mapping, gap identification, problem quantification, idea generation, and solutioning to aid insights-driven decision-making. Thought Leadership: Display thought leadership by creating Points of View (POVs) and publishing whitepapers on market-influencing factors, identifying potential opportunities for exploration. Use Case Development: Build compelling use cases around ideas or capabilities. Strategic Communication: Communicate assertively to senior leadership teams and clients, conveying strategic insights and proposals. Solution Roadmap: Receive and act on feedback, prioritize tasks, and build roadmaps for solution implementation. Engineering Support: Serve as a domain expert to support the engineering team. Go-to-Market (GTM) Strategy: Effectively manage and collaborate with sales, marketing, delivery, and solutions teams to prepare GTM strategies, RFPs, and proactive pitches. Account Expansion: Play an active role in the radiation and expansion of accounts through solution/service offerings. Mandatory Skills & Experience Domain & Consulting Expertise: Strong cross-functional consulting capabilities with domain experience in Healthcare and Life Sciences . Proven ability to perform various consulting activities , including industry/company/trend/competitor analysis, user journey mapping, gap identification, problem quantification, idea generation, and solutioning. Knowledge and experience in selling IT services to various verticals (if applicable, though not explicitly stated for this role, it's inferred from the overall context of Business Development). Technical Acumen: Good understanding of the technology landscape . Hands-on experience with enterprise applications such as ERP, CRM, AWS/Azure/GCP is a plus. Essential Professional Skills Communication: Good communication skills and high proficiency in MS PowerPoint and Excel . Leadership: Ability to display thought leadership . Feedback Orientation: Keenness to receive and act on feedback . Collaboration: Ability to effectively manage and collaborate with sales, marketing, delivery, and solutions teams. Assertiveness: Ability to communicate assertively to senior leadership

Key Responsibilities: Define and implement QA strategy, test plans, and test processes. Lead and manage a team of QA engineers (manual and automation). Collaborate with development and product teams to ensure requirements are testable and delivered with quality. Oversee test planning, execution, and defect management across multiple projects. Ensure adherence to testing standards, tools, and frameworks. Develop and monitor quality KPIs, metrics, and reporting. Drive continuous improvement in QA processes and tools. Support release planning and ensure timely delivery of quality releases. Manage test environments and ensure test data readiness. Mentor team members and support career growth and technical upskilling. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 7+ years of experience in software testing, with at least 23 years in a QA leadership or management role. Strong knowledge of QA methodologies, tools, and processes (manual and automation). Hands-on experience with automation frameworks (e.g., Selenium, TestNG, JUnit, etc.). Experience in Agile/Scrum environments. Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions). Excellent communication, leadership, and organizational skills. Ability to manage multiple projects and priorities in a fast-paced environment.

As an SAP Integration Architect, you will be responsible for designing and implementing comprehensive integration solutions that seamlessly connect non SAP applications with SAP S4HANA. Your role will focus on ensuring designing solutions between various SAP module such as SuccessFactors, Ariba, Payroll, Human Capital Management HCM, and Core Finance including Chart of Accounts and third party applications like HRIS, Concur, CoStar, Salesforce, Workday, and Snap Logic. Architect integration solutions that connect non SAP applications with SAP S4HANA, addressing both structured and unstructured data exchanges. Design API led integration solutions to facilitate seamless data flow between SAP module such as SuccessFactors, Ariba, Payroll, HCM, and Core Finance including Chart of Accounts and third party applications like HRIS, Concur, CoStar, Salesforce, Workday, and SnapLogic. Define integration solution design document including High Level Designs HLDs, Low Level Designs LLDs, and interface specification to ensure thorough documentation of integration architectures. Conduct design assurance reviews to validate that integration solutions adhere to enterprise architecture principles and align with business objectives. Perform impact assessments for proposed integration solutions changes to minimize disruptions to existing SAP and non SAP processes. Collaborate with cross functional teams to align SAP integration solutions with overarching business process requirements. Provide assurance and governance by enforcing compliance with TDA and ARB standards for integration solutions. Maintain comprehensive integration solution blueprints, API catalogs, and documentation to support ongoing system scalability and adaptability. Utilize enterprise tooling, such as LeanIX, to map integration solution landscapes and ensure architectural consistency across the organization. Implement API management, authentication, and security best practices across SAP and non SAP ecosystems to ensure secure integration solutions. Develop and maintain middleware based integration solutions using platforms like SAP CPI, MuleSoft, Dell Boomi, and SnapLogic to ensure connectivity across various systems. Ensure both real time and batch processing integration solutions, optimizing for performance and robust error handling. Support end to end delivery processes of integration solutions, including deployment, cutover planning, hypercare, and post go live optimization phases. Implement error handling frameworks within integration solutions to ensure resilience in data exchange processes and enhance exception monitoring capabilities. Establish logging, monitoring, and alerting mechanisms within integration solutions for proactive issue detection within integration workflows. Work closely with infrastructure and security teams to align integration solutions with compliance requirements, risk management strategies, and data governance policies. Ensure seamless connectivity between SAP and external applications through the development of scalable and reusable integration solutions patterns. Support API lifecycle management within integration solutions, ensuring that API versioning, throttling, and governance protocols are maintained for long term sustainability. Qualification SAP RTR (Record to Report module) Look for candidates having exp with RTR/ R2R We As an SAP Integration Architect, you will be responsible for designing and implementing comprehensive integration solutions that seamlessly connect non SAP applications with SAP S4HANA. Your role will focus on ensuring designing solutions between various SAP module such as SuccessFactors, Ariba, Payroll, Human Capital Management HCM, and Core Finance including Chart of Accounts and third party applications like HRIS, Concur, CoStar, Salesforce, Workday, and Snap Logic. Architect integration solutions that connect non SAP applications with SAP S4HANA, addressing both structured and unstructured data exchanges. Design API led integration solutions to facilitate seamless data flow between SAP module such as SuccessFactors, Ariba, Payroll, HCM, and Core Finance including Chart of Accounts and third party applications like HRIS, Concur, CoStar, Salesforce, Workday, and SnapLogic. Define integration solution design document including High Level Designs HLDs, Low Level Designs LLDs, and interface specification to ensure thorough documentation of integration architectures. Conduct design assurance reviews to validate that integration solutions adhere to enterprise architecture principles and align with business objectives. Perform impact assessments for proposed integration solutions changes to minimize disruptions to existing SAP and non SAP processes. Collaborate with cross functional teams to align SAP integration solutions with overarching business process requirements. Provide assurance and governance by enforcing compliance with TDA and ARB standards for integration solutions. Maintain comprehensive integration solution blueprints, API catalogs, and documentation to support ongoing system scalability and adaptability. Utilize enterprise tooling, such as LeanIX, to map integration solution landscapes and ensure architectural consistency across the organization. Implement API management, authentication, and security best practices across SAP and non SAP ecosystems to ensure secure integration solutions. Develop and maintain middleware based integration solutions using platforms like SAP CPI, MuleSoft, Dell Boomi, and SnapLogic to ensure connectivity across various systems. Ensure both real time and batch processing integration solutions, optimizing for performance and robust error handling. Support end to end delivery processes of integration solutions, including deployment, cutover planning, hypercare, and post go live optimization phases. Implement error handling frameworks within integration solutions to ensure resilience in data exchange processes and enhance exception monitoring capabilities. Establish logging, monitoring, and alerting mechanisms within integration solutions for proactive issue detection within integration workflows. Work closely with infrastructure and security teams to align integration solutions with compliance requirements, risk management strategies, and data governance policies. Ensure seamless connectivity between SAP and external applications through the development of scalable and reusable integration solutions patterns. Support API lifecycle management within integration solutions, ensuring that API versioning, throttling, and governance protocols are maintained for long term sustainability

We are seeking a skilled Data Engineer to join our dynamic team in India. The ideal candidate will have experience in building and managing data pipelines, ensuring data quality, and optimizing our data infrastructure to support analytics and business intelligence initiatives. Responsibilities Design, construct, install, and maintain large-scale processing systems and data pipelines. Develop and optimize ETL processes to ensure smooth data integration and transformation. Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet their needs. Implement data quality checks and ensure data integrity throughout the data lifecycle. Monitor performance and troubleshoot data-related issues, enhancing system efficiency and reliability. Skills and Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 2-4 years of experience in data engineering or a similar role. Proficiency in programming languages such as Python, Java, or Scala. Strong knowledge of SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB). Experience with big data technologies such as Hadoop, Spark, or Kafka. Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing. Understanding of data modeling concepts and data warehousing principles. Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Minimum 10 years of Product experience in Finacle Core Banking product (Infosys/Edgeverve) Working experience on Finacle 11 requirement and product capability along with Customization architecture Experience in handling Finacle Interfacing requirements (Custom and Product APIs/Connect 24/Finacle Integrator) Experience in Finacle core customization with hands on knowledge in rest API integration Good understanding of Finacle Product Architecture & Customization layers Finacle customization flow understanding (New custom menu, Reports - MRT & Jasper, Batch job, Product menu customization, FI, EOD-BOD process and debugging) Experience in best practices to be followed in Oracle (SQL, PL/SQL, Stored Procedures, Triggers, Functions) related to Finacle application Experience in Finacle scripting, Unix shell scripting and Report designing Experience on node js along with k8s . Hands on experience in BAF and Micro batches Good understanding of Finacle Integrator and feasible enhancements to the same Finacle Core Banking Functional knowledge Good understanding of Banking domain and terminologies used. Finacle certification from Infosys will be added advantage Finacle CRM and Admin module (FINFADM/SSOADM/FININFRA) Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Agile methodology. Ensure quality of technical and application architecture and design of systems across the organization. Effectively research and benchmark technology against other best in class technologies. Able to effectively manage a team, increasing their productivity and effectiveness on technical and functional by sharing deep knowledge and experience. Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization. Have excellent soft skills and interpersonal skills to interact and present the ideas to Senior and Executive management