11+ GL Jobs in Chennai | GL Job openings in Chennai
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· Design, Develop, and Implement Integration solutions using Oracle Integration cloud (OIC) to connect various applications, Systems, and Services
· Customize and configure OIC adapters, connectors, and Components to meet specific integration requirements.
· Develop RESTful and SOAP Webservices for data exchange and communication between different systems.
· Good Knowledge in Cloud technologies (Lamda function in AWS etc for integration with AWS)
· Collaborate with Business analysists and stakeholders to gather requirements and define integration workflows and data flows.
· Perform troubleshooting, debugging and performance tuning of integration solutions to ensure optimal performance and reliability.
· Develop and maintain documentation for integration processes, interfaces and configurations.
· Perform Code reviews .
· Ensure adherence to coding standards , development methodologies and security protocols throughout the software development lifecycle.
Personnel Specification
Education: Bachelor’s degree in computer science, Information Technology or related field
Experience:
• 5 or more years of experience in IT industry.
• Experience in Cloud based integration Platform.
Skills and Abilities:
· Proven experience in designing, developing, and implementing integration solutions using OIC
· Strong understanding of RESTful and SOAP web services, JSON, and other data formats.
· Experience in cloud based integration platforms, writing Lamda function and creating integrations with various channels.
· Strong Knowledge in OIC API Integration.
· strong understanding on SOAP based services and Rest bases services.
· Strong development skills in JAVA
· Strong knowledge on Authentication methodologies to be followed during the integration platforms.
· Strong Knowledge in OIC GEN2 and GEN3
Python
Java
Django
FlaskCompany: PluginLive
About the company:
PluginLive Technology Pvt Ltd is a leading provider of innovative HR solutions. Our mission is to transform the hiring process through technology and make it easier for organizations to find, attract, and hire top talent. We are looking for a passionate and experienced Data Engineering Lead to guide the data strategy and engineering efforts for our Campus Hiring Digital Recruitment SaaS Platform.
Role Overview:
The Data Engineering Lead will be responsible for leading the data engineering team and driving the development of data infrastructure, pipelines, and analytics capabilities for our Campus Hiring Digital Recruitment SaaS Platform. This role requires a deep understanding of data engineering, big data technologies, and team leadership. The ideal candidate will have a strong technical background, excellent leadership skills, and a proven track record of building robust data systems.
Job Description
Position: Data Engineering Lead - Campus Hiring Digital Recruitment SaaS Platform
Location: Chennai
Minimum Qualification: Bachelor’s degree in computer science, Engineering, Data Science, or a related field. Master’s degree or equivalent is a plus.
Experience: 7+ years of experience in data engineering, with at least 3 years in a leadership role.
CTC: 20-30 LPA
Employment Type: Full Time
Key Responsibilities:
Data Strategy and Vision:
- Develop and communicate a clear data strategy and vision for the Campus Hiring Digital Recruitment SaaS Platform.
- Conduct market research and competitive analysis to identify trends, opportunities, and data needs.
- Define and prioritize the data roadmap, aligning it with business goals and customer requirements.
Data Infrastructure Development:
- Design, build, and maintain scalable data infrastructure and pipelines to support data collection, storage, processing, and analysis.
- Ensure the reliability, scalability, and performance of the data infrastructure.
- Implement best practices in data management, including data governance, data quality, and data security.
Data Pipeline Management:
- Oversee the development and maintenance of ETL (Extract, Transform, Load) processes.
- Ensure data is accurately and efficiently processed and available for analytics and reporting.
- Monitor and optimize data pipelines for performance and cost efficiency.
Data Analytics and Reporting:
- Collaborate with data analysts and data scientists to build and deploy advanced analytics and machine learning models.
- Develop and maintain data models, dashboards, and reports to provide insights and support decision-making.
- Ensure data is easily accessible and usable by stakeholders across the organization.
Team Leadership:
- Lead, mentor, and guide a team of data engineers, fostering a culture of collaboration, continuous improvement, and innovation.
- Conduct code reviews, provide constructive feedback, and ensure adherence to development standards.
- Collaborate with cross-functional teams including product, engineering, and marketing to ensure alignment and delivery of data goals.
Stakeholder Collaboration:
- Work closely with stakeholders to understand business requirements and translate them into technical specifications.
- Communicate effectively with non-technical stakeholders to explain data concepts and progress.
- Participate in strategic planning and decision-making processes.
Skills Required:
- Proven experience in designing and building scalable data infrastructures and pipelines.
- Strong proficiency in programming languages such as Python, R, Data visualization tools like Power BI, Tableau, Qlik, Google Analytics
- Expertise in big data technologies such as Apache Airflow, Hadoop, Spark, Kafka, and cloud data platforms like AWS, Oracle Cloud.
- Solid understanding of database technologies, both SQL and NoSQL.
- Experience with data modeling, data warehousing, and ETL processes.
- Strong analytical and problem-solving abilities.
- Excellent communication, collaboration, and leadership skills.
Preferred Qualifications:
- Experience in HR technology or recruitment platforms.
- Familiarity with machine learning and AI technologies.
- Knowledge of data governance and data security best practices.
- Contributions to open-source projects or active participation in the tech community.
LeadershipThe responsibilities and duties section is the most important part of the job description. Please read them below and if interested, do go ahead and apply!
Roles and Responsibilites:
- Manages talent acquisition process, including sourcing, testing, interviewing, hiring and onboarding
- Keeps job descriptions up-to-date, accurate and compliant with relevant federal, state and local laws for all positions
- Develops training and performance management program that ensures all employees are familiar with their job responsibilities, as well as relevant legal and safety requirements
- Creates and updates compensation strategy through market analysis and pay surveys
- Handles investigation and resolution of employee issues, concerns and conflicts
- Ensures all employment practices comply with federal, state and local regulations
VB Script
VB.6
VB Advanced Excel
Bangalore/Chennai/Hyderabad
Experience creating PowerPoint slide decks and along with that experience in automating the PowerPoint slide creation using excel VBA Formats extracted data based on expected report output with batching capability and multiple data formatting requirements Consolidate and combine extracted data from multiple resources using automated tools excel, VBA macro, SQL database, and/or from different system/tools/Database in one single database using SQL queries to standardize data structure
Professional Attributes :
Gathers and analyse report requirements from stakeholders Identify the processing tool Excel / SQL and provide a robust solution which can be easily leveraged or extended to other domains Building complex VBA scripts to automate Excel spreadsheet processes
Data Science
Machine Learning (ML)PythonJob 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.
Establish Customer Support Practices
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.
Provide Technical and Product Support
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.
Greetings from codemantra!!!!
Must have worked minimum 2 Years in a publishing or IT company serving international clients for various output with Accessible feature
Technical Practice Knowledge - Accessibility principles in PDF, PPT, Word and Excel
Should have worked as PDF/MSOffice workflow as Production processor for minimum 1 year
Strong Remediation Knowledge in Adobe Acrobat and MS office products
Capable of Analyze, creating workflow documents, and Requirement gathering for New customer inputs
Should have worked in PDF remediation with PAC, ACE, WCAG compliance
Should have strong knowledge on tools and techniques of PDF application
Should have an eye on detail content, layout and color
Should have Strong English communication knowledge
Capable of training new resources both Inhouse and Vendors
Regards
Ranjith
Java
Go Programming (Golang)
C++Your role in helping us shape the future:
Gogo Commercial Aviation, An Intelsat Company has an exciting opportunity for a Software Engineer. You will help us design and develop solutions aimed at providing a means to manage and deploy the configuration specifics of aircraft, based on airlines, aircraft deployed technology, fleet and installation requirements. This solution uses a combination of configuration management and cloud-based deployment using AWS which also requires an understanding of network / telecom protocols.
Are you up to the challenge?
The ideal candidate for this role will be a working member of an engineering team delivering quality technical solutions carrying through from design to deployment. This role requires solid understanding of the design and development process, using CI / CD technologies. Your role will be crucial in designing and delivering complex products and solutions across technologies products and tools, improving quality of the code by following coding standards/guidelines, using static code analysers, maximum unit test coverage and automating the test cases.
Can you drive these processes?
- Develop groundbreaking and distributed solutions with high availability and impact.
- Work with the Architects/ Technical lead / Product Owner to understand user requirements, convert BDD scenarios or user stories into product functionality.
- Work with the team members collectively to own and deliver features and flexible to take up any type of tasks like develop, automate and test to complete feature.
- Perform code reviews and associated engineering quality checks clearly and consistently.
You should definitely have:
- Bachelor's degree in Computer Science, Engineering, or related discipline
- 2 - 5 Years of experience in systems implementations with a focus on both custom application development & commercial systems software implementations
- Knowledge and experience in multiple technical disciplines required (development, QA, devops, etc)
- 2+ years of in-depth development experience with Java / C++ / C / Go.
- Experience in CI/CD and AWS deployments (EC2, SQS, SNS, Lambda, S3, Aurora, DynamoDB)
- Advanced knowledge of software development lifecycles; expert knowledge in Agile and Lean methods.
- Proponent of DevOps, TDD, Agile/XP practices, and CI/CD pipelines
- Ability to work under pressure, prioritize work, coordinate with onsite stakeholders and well organized.
- Flexibility in working with technologies and platforms.
- A commitment to excellence, best practices, and the continuous improvement of our products, code base, processes, and tools.
It would be nice if you had:
- Experience with Scaled Agile Framework (SAFe) work environments
What it’s like to work with us:
Intelsat is connecting the world and transforming the satellite landscape by reaching beyond the traditional satellite industry. We are defining new products that will open new, profitable markets. To help us reach this goal, you should be a bold thinker who will perform a key role in shaping Intelsat innovation for years to come.
- We emphasize personal and professional growth
- Awesome benefits including Leave Benefits, medical and training
- Fun, diverse, and inclusive culture
Java
Angular (2+)
C#
MongoDB
ExpressTechnical Skills:
- Hands-on experience with JavaScript/TypeScript ( NodeJS & ExpressJS) in) Development on both client and server-side
- Proficiency in HTML, CSS and front end frameworks(Angular 7, AngularJS)
- Having experience in building a responsive web design
- Experience with MongoDB and good knowledge in database concepts
- Experience with web frameworks like ExpressJS
- Developing secure Node.js end points using Passport, JWT, OAuth, and related technologies.
- Knowledge in Restful API Design
- Knowledge in unit testing tools like Karma, Jasmine etc..
- Experience with Version control systems like GIT and knowledge in GIT branching is necessary.
- Knowledge in continuous integration
- Strong object-oriented knowledge in any platform is a plus
- Proficiency and hands-on experience with one or more of the following: Backbone / KnockoutJS / EmberJS / ReactJS is a plus
- Knowledge in payment gateway integration is a plus
Responsibilities:
-
Working with an Agile Scrum team using tools such as JIRA.
-
Involving in writing functional specifications and technical documentation
-
Working with the peer developers and writing good quality codes and release features
-
Participation in internal code reviews
-
Direct interaction with the client
Javascript
HTML/CSS
NodeJS (Node.js)
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