11+ SAP PM Jobs in Chennai | SAP PM Job openings in Chennai
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👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
REQUIREMENTS:
- Bachelor's/master’s degree or equivalent experience in computer science
- Overall, 10-12 years of experience with at least 4 years of experience with Jitterbit Harmony platform and Jitterbit Cloud.
- Should have the experience to technically lead groom developers who might be geographically distributed
- Knowledge of Change & Incident Management process (JIRA etc.)
RESPONSIBILITIES:
- Responsible for end-to-end implementation of integration use case using Jitterbit platform.
- Coordinate with all the stakeholders for successful project execution.
- Responsible for requirement gathering, Integration strategy, design, implementation etc.
- Should have strong hands-on experience in designing, building, and deploying integration solution using Jitterbit harmony Platform.
- Should have developed enterprise services using REST based APIs, SOAP Web Services and use of different Jitterbit connectors (Salesforce, DB, JMS, File connector, Http/Https connectors, any TMS connector).
- Should have knowledge of Custom Jitterbit Plugins and Custom Connectors.
- Experience in Jitterbit implementations including security, logging, error handling, scalability and clustering.
- Strong experience in Jitterbit Script, XSLT and JavaScript.
- Install, configure and deploy solution using Jitterbit.
- Provide test support for bug fixes during all stages of test cycle.
- Provide support for deployment and post go-live.
- Knowledge of professional software engineering practices & best practices for the full software development life cycle including coding standards, code reviews, source control management, build processes, testing,
- Understand the requirements, create necessary documentation, give presentations to clients and get necessary approvals and create design doc for the release.
- Estimate the tasks and discuss with the clients on Risks/Issues.
- Working on the specific module independently and test the application. Code reviews suggest the team on best practices.
- Create necessary documentation, give presentations to clients and get necessary approvals.
- Broad knowledge of web standards relating to APIs (OAuth, SSL, CORS, JWT, etc.)
- Developing sales strategies to draw in potential buyers or to solicit new potential customers.
- Initiating contact with potential customers through cold-calling or responding to inquiries generated from advertisements.
- Creating relationships with customers to identify their potential needs and qualify their interests and viability to drive sales.
- Presenting product information to customers once you have identified their needs.
- Moving solid leads through the marketing funnel, connecting them to a salesperson, and arranging in-person meetings, emails, or phone calls.
- Following up with potential customers who expressed interest but did not purchase any goods or services.
- Performing regular follow-up calls or emails and facilitating communication with existing customers to ensure their satisfaction and identify new potential needs.
- Collaborating with sales executives to ensure the company's goals and targets are met.
Job Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
- Assist in waterproofing applications and works with a range of waterproofing chemicals and coating products.
- Execute professionalism in waterproofing works.
- Regularly monitor and maintain waterproofing equipment to ensure it remains in working order.
- Perform visual inspections on projects.
- Exercise professional advice to clients when required.
- Perform integrity testing and troubleshooting testing to identify any breaches or defects in the projects' existing waterproofing membrane/coatings.
Excellent Analytical and problem solving skills.
Ability to manage multiple priorities.
- Minimum 1 years of relevant experience, in PySpark (mandatory)
- Hands on experience in development, test, deploy, maintain and improving data integration pipeline in AWS cloud environment is added plus
- Ability to play lead role and independently manage 3-5 member of Pyspark development team
- EMR ,Python and PYspark mandate.
- Knowledge and awareness working with AWS Cloud technologies like Apache Spark, , Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS
Completely work from office.
rotational shifts.
1. Strong knowledge in Front end scripting like EJS, JavaScript, Jquery
2. Proficiency with fundamental front-end languages such as HTML, CSS.
3. Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.
4. Proficiency with server-side languages such as Python / Ruby / Java / PHP/ .Net
5. Good Understand with database technology such as MySQL, Oracle, and MongoDB.

at MirrAR Innovation Technologies Private Limited
Description
Experience: 1.5 to 3 yrs
* Hands on work experience developing in Java and J2EE
* Hands on work experience developing in JavaScript
* Extensive working experience in Springboot
* Good to have No SQL (Mongo DB) and My SQL Exposure
* Good to have experience in AWS cloud environment
* Designing, developing, troubleshooting and debugging software within a project scope ensuring that work product meets end user acceptance criteria.
* Managing self-directed assignments to resolve software defects or implement features to meet schedule commitments with a high-level of quality.
* Acquiring knowledge of industry and company standards, tools and technology with a focus on pragmatic application to business-focused software solutions through initiative and self-study
Requirements
Primary Skill Java Springboot, Java Script
Good to have Mongo Db (No Sql), My SQL and Exposure to AWS
Benefits
Salary:300000 LPA to 500000 LPA


