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

4+ years of overall IT experience 

∙2+ years of hands-on Pega development 

∙Pega System Architect (CSA / SA) certification (mandatory or preferred) 

∙Hands-on experience with Pega Platform 

∙Basic to intermediate knowledge of: 

oCase Management & BPM 

oFlows and decision rules 

oUI development (Sections / Views) with constellation 

oData modeling and data pages 

oReports and dashboards 

oSecurity basics (Access Groups, Roles) 

∙Understanding of Pega Guardrails and performance considerations 

Process Skills:  

∙Excellent verbal/written communication skills. 

∙Ability to work with others in a team environment. 

∙Ability to work on aggressive schedules may require occasional work beyond normal hours (weekends or evenings) 

Behavioral Skills: 

∙Good communication 

Qualification: 

∙Bachelor or Engineering  

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.

Position Summary

The GCP Senior Data Engineer is responsible for designing, building, optimizing, and maintaining high‑quality data pipelines and cloud‑native data platforms on Google Cloud Platform (GCP). This role partners closely with data analysts, data scientists, business teams, DevOps, and platform engineering to deliver secure, reliable, and scalable data solutions that support Trane Technologies’ digital strategy.

This position requires strong hands‑on engineering capabilities, cloud experience, and a passion for delivering enterprise‑grade data solutions.Qualifications

Education Requirements

• Bachelor’s /Master’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related technical field.

Experience Requirements

• 7+ years of total experience in data engineering, data platforms, or data‑centric software engineering.

• 5+ years of hands‑on experience designing and building data pipelines, ETL/ELT workflows, and cloud‑native data solutions.

• 3+ years of direct experience with Google Cloud Platform (GCP) using services such as BigQuery, Cloud Storage, Cloud Run, Datafusion, Dataproc, Composer, and Pub/Sub.

• Advanced proficiency in SQL, Python, and PySpark for data processing and transformation.

• Proven experience developing and supporting production‑grade, end‑to‑end cloud data pipelines.

• Expertise in ELT/ETL design, performance optimization, and data transformation frameworks.

• Strong background in monitoring, logging, alerting, and data quality frameworks across distributed systems.

• Experience with DevOps tools and techniques, including CI/CD, GitHub, and related automation practices.

• Demonstrated experience working in global, cross‑functional, and agile development environments.

• Excellent communication, problem‑solving, and analytical skills with the ability to collaborate across technical and non‑technical teams.

• GCP certification preferred (e.g., Google Cloud Professional Data Engineer).

Core Responsibilities

1. Data Engineering & Cloud Development (Core Responsibilities)

• Design, build, and maintain scalable data processing systems on Google Cloud Platform (GCP).

• Develop end‑to‑end data pipelines to support ingestion, transformation, and storage.

• Build ELT/ETL workflows, database objects, and cloud‑native data orchestration solutions.

• Optimize pipelines for performance, scalability, cost efficiency, and reliability.

• Ensure robust monitoring, alerting, and data quality assurance across distributed systems.

• Implement secure data architectures following Trane Technologies’ standards.

2. Collaboration & Analytics Enablement

• Work closely with data analysts and data scientists to understand business requirements and translate them into scalable data solutions.

• Support analytical use cases, data modelling, and enable self‑service data consumption.

• Partner across global teams, including business stakeholders, product owners, and data governance.

3. DevOps / Platform Engineering Partnership

• Partner with DevOps and platform engineering teams to ensure data infrastructure is secure, reliable, and highly available.

• Apply working knowledge of CI/CD practices (code versioning, automation, testing frameworks) to support cloud‑based deployments.

• Collaborate on environments, pipelines, and promote code through dev → test → prod.

4. Engineering Excellence & Ways of Working

• Participate in code reviews and maintain global coding standards.

• Follow structured engineering methods, documentation practices, and release processes.

• Contribute effectively in distributed, agile development teams across multiple time zones.

• Communicate clearly with both technical and non‑technical stakeholders.

5. Innovation & Continuous Improvement

• Research, evaluate, and propose new tools, technologies, and design patterns.

• Stay current with cloud, data engineering, and analytics trends relevant to enterprise‑scale environments.

• Apply continuous improvement practices to enhance reliability, quality, and developer productivity.

Level of skills and experience:

5 years of hands-on experience in using Python, Spark,Sql.

Experienced in AWS Cloud usage and management.

Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).

Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.

Experience with orchestrators such as Airflow and Kubeflow.

Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).

Fundamental understanding of Parquet, Delta Lake and other data file formats.

Proficiency on an IaC tool such as Terraform, CDK or CloudFormation.

Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

Net Developer with 4-7 years of experience with experience with :

• Full development lifecycle with ASP.NET, C#.NET, VB.NET, MS SQL,
• Proficiency with Oracle SQL, PL/SQL and Stored Procedure
• API Development

Roles and Responsibilities

§ Writing, editing and publishing engaging content for various social networks, including Instagram, Linkedin, Twitter and Facebook etc.

§ Tracking and reporting on social media responses by analyzing traffic to the site

§ Update our social media pages with compelling company news, events, celebrations or solutions and services

§ Respond to questions and comments on our social media pages in a timely and accurate manner

§ Maintaining a visible online on social media presence and adhering to the marketing goals

§ Increasing the company's awareness and readership by using relevant advertising techniques

§ Optimize social media content (language, message, tone) on the basis of the behaviour of our target audience

§ Familiarity with paid advertisement and aware about different websites, and tools for creating graphics, images and video content

§ To create a range of engaging digital content such as Marketing and      

 Promotional videos and Reels to be used across a variety of online

 platforms and social media channels.

§ To help us maximise our online profile and develop our ever-growing social media presence through the creation of video driven strategies and digital media content.

§ Pays attention to trends on Instagram Reels creating and analyzing what works for our business.

§ Coordinate with the creative department to create advertising/engagement posts (e.g. for Company Events, Job posts, etc.)

§ Contribute to the creation of various content materials including: Blogs, Articles, Website Pages, Email templates, Social Media posts etc

§ Develop a deep understanding of MHFAI’s business, brand voice, and target audiences.

§ Develop posts and articles on a wide range of topics that resonate with our target audience and drive traffic to our website

§ Proofread and edit content to ensure high-quality standards, including grammar, spelling, and punctuation

§ Continuously discover and implement new editing technologies and      industry best practices to maximize efficiency

§ Requirements and skills

§ 3+ years of solid experience in digital content marketing or related fields

§ Excellent written and oral Communication skills

§ The ability to create original web content with images or videos

§ Proven work experience as a Social Media content writer or a similar role

§ Hands-on experience using various social media platforms to advertise

§ Proven record of excellent writing demonstrated in a professional portfolio

§ Ability to work independently with little or no daily supervision

§ Working knowledge of SEO, analytics tools, and keyword research

§ Strong research skills and the ability to synthesize complex information into clear and concise content

§ Creative thinking and the ability to generate innovative ideas

What is expected from you:

● Strong Corporate Training selling skills including excellent relationship-building, networking, and time-management skills

● Excellent in Business communications and email etiquette

● Exposure to LinkedIn and other portals

● Ability to generate B2B leads

● Experience in Lead Research and Prospecting

● Experience in cold calling, email campaigns, and using social media to generate leads.

● Data Maintenance and organization skills

● MBA qualification or Experience in Business development is preferred ● Any exposure to IT Training & Talent Acquisition will be an added advantage

● Previous sales experience in a B2B environment.

What will you be doing?

● Conduct Market Research on the company and understand the need of the training needs

● Acquire new clients through networking, direct contact, or marketing campaigns

● Sending 40 to 50 emails customizing to each client

● Good at researching the email id, and contact number of the concerned person

● Close sales and achieve quarterly quotas.

● Build and nurture client relationships via various channels

● Coordinating with multiple internal stakeholders on daily basis

● Develop and implement marketing plans designed to maintain and increase existing business and capture new opportunities

Responsibilities:

• Designing Hive/HCatalog data model includes creating table definitions, file formats, compression techniques for Structured & Semi-structured data processing

• Implementing Spark processing based ETL frameworks

• Implementing Big data pipeline for Data Ingestion, Storage, Processing & Consumption

• Modifying the Informatica-Teradata & Unix based data pipeline

• Enhancing the Talend-Hive/Spark & Unix based data pipelines

• Develop and Deploy Scala/Python based Spark Jobs for ETL processing

• Strong SQL & DWH concepts.

Preferred Background:

• Function as integrator between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs

• Lead project efforts in defining scope, planning, executing, and reporting to stakeholders on strategic initiatives

• Understanding of EDW system of business and creating High level design document and low level implementation document

• Understanding of Big Data Lake system of business and creating High level design document and low level implementation document

• Designing Big data pipeline for Data Ingestion, Storage, Processing & Consumption