11+ SAP Configuration Jobs in Chennai | SAP Configuration Job openings in Chennai

1. SAP SD(Sales and Distribution) - HANA Sales of S/4 HANA

2. O2C(Order To Cash ) business process expertise,

3. SAP SD Implementation/Support/Development project expertise.

4. Exposure to SAP SD configurations (O2C processes, Pricing Procedure, Revenue account determination, Credit Management, Rebate Processing, Batch Management, Consignment, Stock transport orders)

5. S/4 Migration/Implementation/AMS experience

Job Title: Control-M Administrator (L1 Production Support)

Experience: 2–5 Years

Job Description

We are looking for a Control-M Administrator with experience in production support and batch operations. The candidate will be responsible for monitoring Control-M job schedules, performing L1 incident triage, troubleshooting batch failures, and ensuring smooth execution of critical business processes across enterprise applications.

Key Responsibilities

• Monitor and manage Control-M batch jobs, schedules, job failures, reruns, and workflow dependencies.
• Perform L1 troubleshooting for production incidents using logs, metrics, and monitoring tools, and escalate issues to L2 teams with detailed analysis.
• Support production environments involving MSSQL, MySQL, Redis, RabbitMQ/Kafka, REST APIs (HTTP 4xx/5xx), and Azure AKS.
• Monitor application health, order processing, payment workflows, and infrastructure alerts to ensure SLA compliance.
• Create and maintain runbooks, SOPs, and operational documentation.
• Coordinate with cross-functional teams to resolve production issues and support change, incident, and problem management.
• Track operational KPIs, prepare reports, and contribute to process improvement initiatives.

Required Skills

• Control-M Administration & Batch Scheduling
• Production/Application Support
• Incident & Problem Management
• MSSQL, MySQL, Redis
• RabbitMQ / Kafka
• REST API Monitoring & Troubleshooting
• Azure AKS (Basic Knowledge)
• Log Analysis & Monitoring Tools
• Good Communication and Stakeholder Management
• Willingness to work in 24×7 rotational shifts

Job description:

Role: Pega Developer

Experience: 3–6 Years

Location: Chennai / Bangalore / Hyderabad / Pune / Gurgaon

Work Mode: Hybrid

Employment Type: Direct Contract with Haparz

Budget: Up to 18 LPA

We are looking for a skilled Pega Developer with hands-on experience in enterprise application development, workflow automation, integrations, and background processing within the Pega Platform. The ideal candidate should have strong technical expertise in Pega case management, APIs, Kafka integrations, SQL, and troubleshooting complex applications in an agile environment.

Key Responsibilities

• Design, develop, and enhance applications using the Pega Platform
• Build scalable workflow automation and case management solutions
• Work on background processing components including Queue Processors, Job Schedulers, and Agents
• Develop and maintain integrations using REST/SOAP APIs and Kafka
• Write and optimize SQL queries and database interactions
• Perform API testing and validation using Postman
• Troubleshoot application issues, debug defects, and improve performance
• Collaborate with business, QA, and technical teams for requirement analysis and delivery
• Participate in code reviews, deployment activities, and production support
• Follow best practices for coding, security, and application performance

Required Skills

• Strong hands-on experience in Pega Development
• Expertise in Pega Case Management & Integrations
• Experience with Queue Processors, Job Schedulers, and background processing
• Knowledge of Kafka and event-driven integrations
• Strong SQL and database skills
• Experience with REST/SOAP APIs and Postman
• Understanding of Agile/Scrum methodology
• Good communication and stakeholder management skills

Preferred Skills

• Pega Certifications – CSA / CSSA / LSA
• Exposure to CI/CD pipelines and Git
• Knowledge of cloud environments and microservices architecture

Function: Software Engineering → Backend Development

• Python
• Flask

Requirements:

• Should be a go-getter, ready to shoulder more responsibilities, shows enthusiasm and interest in work.
• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, Web service.
• Should have work experience on following stacks/libraries: Flask
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python
• Basic understanding of front-end technologies, such as Angular, JavaScript, HTML5 and CSS3
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Understanding of accessibility and security compliance
• Experience in both RDBMS(MySQL), NoSQL databases (MongoDB, HDFS, HIVE etc) or in-memory caching technologies such as ehcache etc is preferable.

● Generate loan leads from the partnered institutions, open market and through different channels on the field.
● Develop and maintain relationships with partnered institutions and repeat business
and referral/s.
● Arrange and plan events to generate leads, and handle product queries and
service issues in the partnered institutions.
● Meet clients, verify documents, process files, coordinate for sanction /
disbursement of loans, personalized service to clients.
● Ensure the achievement of a given business target in your territory.

Experience: 1year+ in Banking sales such as personal loans, and home loans.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• 4-15 year experience in Application Support
• Must have good knowledge in Java/J2EE, Microservices, PL/SQL, Unix
• Good to have knowledge in Agile, JIRA, Splunk, Service Now
• Good understanding and hands-on experience in Incident, Problem and Change Management
• Provide technical leadership to the team & contribute in the skill development within team
  Interact with internal teams and client stakeholders to trouble shoot the tickets/incident and manage other support activities
• Good communications skills are necessary, must be team player and inquisitive.
• Strong customer service and support focus with a desire to deliver a high-quality service
• Ability to multi-task, work under pressure and to tight deadlines
• Flexible in working outside of office business hours at short notice (as required)
• Should be able to examine the system and identify the areas for Service Improvements & Value adds.