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

We are looking "SAP CPI/PI/PO" for Reputed Client @ Chennai Permanent Role.

Experience: 3-8 Yrs

• Should have worked on at least 2 integration projects with SAP Cloud Integration CPI 

• Prefer work experience on developing CPI flows to integrate with Cloud for customer, Hybris /commerce cloud, SuccessFactors, S4HANA & MDG. 

• Experience on Groovy scripts, Java, XSLT . 

• Should have worked on implementations with complex mappings and different adaptors like OData, SOAP, SF, IDoc, SFTP, Process Direct, JMS etc 

• Expert in operate and monitor integration scenarios and worked with Cloud monitoring tools. 

• Experience on integrating Cloud systems with on premise S4HANA and Database systems. 

• Worked with API Management and API Gateways for secure connectivity. 

• Extensive knowledge and experience on packaged content / OOB and customizes the standard artifacts. 

• Able to configure SAP PI/PO adapters like SOAP, IDOC_AAE, Proxy, RFC, REST, JDBC, SFTP, AS2, EDI Separator. 

• SAP PI/PO integration experience on XI CONTENT objects and Enterprise services provided by SAP. 

• Good in JAVA, UDF, custom adapter module developments. 

• Extensive knowledge on SAP PI/PO NWA, Issue analysis, Error handling & Performance tuning. 

• Knowledge on BTP is an added advantage. 

• Team player, good communication skills. 

Overview

We are looking for a highly skilled Lead Data Engineer with strong expertise in Data Warehousing & Analytics to join our team. The ideal candidate will have extensive experience in designing and managing data solutions, advanced SQL proficiency, and hands-on expertise in Python & POWER BI .

Skills : Python, Databricks, SQL

Key Responsibilities:

• Design, develop, and maintain scalable data warehouse solutions.
• Write and optimize complex SQL queries for data extraction, transformation, and reporting.
• Develop and automate data pipelines using Python.
• Work with AWS cloud services for data storage, processing, and analytics.
• Collaborate with cross-functional teams to provide data-driven insights and solutions.
• Ensure data integrity, security, and performance optimization.

Required Skills & Experience:

• Must have a minimum of 6-10 years of experience in Data Warehousing & Analytics.
• Must have strong experience in Databricks
• Strong proficiency in writing complex SQL queries with deep understanding of query optimization, stored procedures, and indexing.
• Hands-on experience with Python for data processing and automation.
• Experience working with AWS cloud services.
• Hands-on experience with reporting tools like Power BI or Tableau.
• Ability to work independently and collaborate with teams across different time zones.

Job Title: iOS Developer

Experience: 1–4 Years

Location: Indore (On-site)

Employment Type: Full-time

Requirements:

• 1 to 4 years of experience in iOS app development
• Strong knowledge of Swift, SwiftUI, and UIKit
• Experience working with RESTful APIs and third-party libraries
• Familiarity with Apple’s design principles and interface guidelines

Key Responsibilities:

• Design, develop, and maintain iOS applications using Swift and SwiftUI
• Collaborate with cross-functional teams to define, design, and ship new features
• Ensure the performance, quality, and responsiveness of applications

ompany Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Job Title: Java Developer

Experience range:- 3-6 Years

Location:- Chennai

Face 2 Face Drive : Friday & Saturday (11th & 12th July 2025)

·    Strong written/verbal communication skills

·      Minimum 3+Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Fork joins pool and other threading concepts)

·    Good knowledge of the JVM with an understanding of performance and memory optimization.

•  Good experience in Spring boot.
•  Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).

•  Excellent knowledge on collections like, Array List, Vector, LinkedList, HashMap, Hash Table, HashSet is mandate.

•  Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.

•  Expert level understanding of Object-Oriented Concepts and Data Structures

•  Good experience in Database (Sybase, Oracle or SQL Server) like indexing (clustered, non-clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints, functions, triggers, procedures etc.

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.

Mandatory skills:

• Programming skills in Python, Robot framework, Selenium, Shell scripting
• Experience on L2/L3 protocols of VLAN/DHCP/LACP/IGMP/PPPoE.
• Should be familiar with device configuration protocols of CLI/NETCONF/SNMP.
• Experience in telecom technologies like DSLAM/GPON/G.fast/Next gen broadband technologies is highly recommended
• Knowledge on regression/performance/load/scale/stability test areas
• Hands on experience with Common industry equipment like Spirent test center/ixia/Abacus/Shenick(TeraVM)/N2X Traffic generators.
• Exposure to debug tools such as Wireshark/tcpdump.

Job Requirements:

• Knowledge on software Test cycle, test plan and test case creation
• Understanding of End to end test setup topology and debugging.
• Ability to perform System level Functional and Non-functional tests.
• Familiar with Manual test life cycle
• Designing and writing test automation scripts using automation frameworks
• Exposure to CI/CD pipe line implementation and maintenance using Jenkins, Groovy scripting
• Linux skills (system configuration and administration, containers, networking experience and d) such as sockets and database management
• Good debugging skills and knowledge on various debug tools
• Bug reporting/tracking and providing logs.

Customer Success Managers are responsible for creating policies and procedures that optimize the customer experience. Customer Success Managers may gather feedback from their customers, study other customer success programs, and analyze customer data to identify the best practices. The Customer Success Manager must establish policies the entire staff can adhere to so all customers receive the same quality of service.

Customer Success Managers must know the company’s products inside and out. They are often called upon to provide technical support to customers or to provide training on their products. They may even help customers plan and understand the best ways to utilize their software or products based on the customer’s business needs or business plans. The Customer Success Manager is not focused on making sales, rather on educating their customers on the flexibility and capabilities of their software so customers are encouraged to continue using their services.

•   Minimum of 12 years of Experience with Informatica ETL, Database technologies.
•   Experience with  Azure database technologies including Azure SQL Server, Azure Data Lake Exposure to Change data capture technology Lead and guide development of an Informatica based ETL architecture.
•      Develop solution in highly demanding environment and provide hands on guidance to other team members. 
•      Head complex ETL requirements and design. 
•      Implement an Informatica based ETL solution fulfilling stringent performance requirements. 
•      Collaborate with product development teams and senior designers to develop architectural requirements for the requirements.
•      Assess requirements for completeness and accuracy. 
•      Determine if requirements are actionable for ETL team. 
•      Conduct impact assessment and determine size of effort based on requirements.
•      Develop full SDLC project plans to implement ETL solution and identify resource requirements.
•      Perform as active, leading role in shaping and enhancing overall ETL Informatica architecture and Identify, recommend and implement ETL process and architecture improvements.
•      Assist and verify design of solution and production of all design phase deliverables. 
•      Manage build phase and quality assure code to ensure fulfilling requirements and adhering to ETL architecture