We have an opening in WNS Airoli Mumbai for Accounts payable. Candidate should have good experience in team management, Process management and client management
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2. Interacting with the clients
3. Creating test documents
4. Performing manual testing
1. Basic HTML, CSS, good aptitude, analytical & problem-solving skills
2. The candidate having a software testing course certificate or experience in testing would be preferred
3. Excel Sheet, knowledge of SDLC, Scrum and Agile methodology
we are arranging a virtual walk-in on Saturday 21 st May' 22
for Java Developers from 0 to 7 years of experience.
Kindly drop in your CV's with subject line: Virtual Walk-In 21st May
· Job Location: Work from Home
· Salary Package: As per Company Standards
Job Description:
Technologies/Frameworks –
· Core Java, J2EE,
· Spring Core and Spring MVC, Sprint Boot, Spring Security,
· JDBC, Hibernate, RESTful APIs, SOAP WebServices
· Knowledge of JavaScript, JQuery, AJAX, HTML5, and CSS3, Angular is added advantage
· Junit or Mockito frameworks
· Maven, Git
· Knowledge Data Structures,
· SQL, MySQL
· Designing relational database schemas
· Basics of AWS, Cloud, Microservices
Must have strong knowledge and experience in Agile based software development methodologies. Knowledge of an Agile tool like Jira.
Strong knowledge of working in Integrations of 3rd party APIs and creating the new APIs.
Must have good knowledge of creating Flow diagrams, UMLs and all the required documentations.
Must have Team Lead exposure
Domain Preference
Senior Software Engineer - Payments
MishiPay
Competitive salary, bonus and potential share options
Bangalore
Please read our full advert before applying. You MUST have payments experience.
About Mishipay:
MishiPay (https://mishipay.com/" target="_blank">https://mishipay.com/) was founded in 2015 by Mustafa Khanwala (https://t.sidekickopen87.com/s3t/c/5/f18dQhb0S7kv8cW0B4W4V2M7g2zGCwVW8Jbw_83My4KPW4XXYRz3MqbyWW4Xq_Cl16gGDkf34lRCG01?te=W3R5hFj4cm2zwW4mKLS-3ZWVWBW3K2-zv1JxwY5W1Lyz993_-rybW3z9CQ13QZn51f3zd5DJ04&si=6558133869871104&pi=23656670-1dc8-41be-f0fe-f4c7fec4c64c" target="_blank">/in) bringing the best of the online checkout experience to physical stores.
We do this with our Scan, Pay and Go experience. Using our native apps on Android or iOS, or our web app available on Chrome or Safari, customers scan the products they wish to buy in store using their own phone and pay instantly. This eradicates the need to wait in line or touch store hardware.
As the world’s leading Scan and Go provider, we work with 30+ brands across 15 countries, including names like MUJI, Eroski, Flying Tiger Copenhagen, Spar, Londis and many others. The work is challenging, hard and long and requires you to be on top of your game but if the adventure and journey excite you then this is the place for you. We want to make sure that in exchange for this commitment from our team, we offer them the best package possible in terms of options, salary and bonus linked to the success of the business. You’ll also quickly see the impact of your work as we develop our products and customers
Requirements
We are looking for a Backend Engineer who possesses a passion for pushing mobile technologies to the limits and will work with our team of talented engineers to design and build the next generation of our mobile applications. You’ll play a key part in the development of our products, help to evolve and streamline our tech stack to suit our needs as we grow, and you’ll enjoy working in an environment surrounded by like-minded inspirational individuals.
Ideally we would love you to have Python, but we will also look at Java or other languages. It's essential you have worked as a Backend Engineer in a Payments domain.
Qualifications:
- Ideally, deep expertise with Python programming language and Django + DRF framework to build backend services
- Experience with Node.js and Kafka
- Substantial experience in building complex and scalable solutions using SQL databases
- Hands-on experience of database modelling for any NoSQL databases like MongoDB / Cassandra / DynamoDB or other
- Experience with full backend development life cycle in any programming language on a Linux platform
- Comprehensive operational experience including, optimizations & deployments with Kubernetes
- Experience leading multi-engineer projects and mentoring junior engineers
- Strong object oriented design skills, ability to apply design patterns, and an uncanny ability to design intuitive module and class-level interfaces
- BTech, MTech, or higher in Computer Science or related technical discipline (or equivalent)
You will:
- Take ownership of a functional area from product conception to delivery
- Contribute to engineering requirement documents (ERDs) by defining work breakdown, estimating tasks duration & setting milestones
- Take non-functional requirements (Reliability & Availability, Scale, horizontal scalability) and Tech stack decisions
- Participate in daily agile team stand-ups
- Coach and mentor junior team members
- Own code base & documentation quality
- Actively work to clear maintenance debt as we continue improving our tech
Benefits
Why MishiPay?
You’ll work with an inspirational multi-cultural team, based in our central London HQ, the US and Bangalore, who are redefining the retail industry globally. We offer a tight-knit, collaborative and exciting work environment, coupled with the opportunity to see the apps we develop live in action within some of the world’s largest retailers, impacting the lives of millions of shoppers. You’ll also get:
- Yearly Bonuses and Share Options
- Learning and Development Monthly Allowance
- A chance to be recognised in one of our two monthly award schemes (and win various prizes)
- A new MacBook
- Pitch Training
- Online Fitness Sessions
- Quarterly team-building and fun events for our London office and free lunches in Bangalore!
· Minimum having 2-10 years of experience in Fire, Engineering, Marine & Liability underwriting.
· Good in Excel, outlook , ppt
· He/she should be able to prepare quotes at own. Must be having market updates about ratings and excess
· Should be able to handle independently as well as guide team
· Good communication skills
· Preferred- Graduates in any stream with III qualifications
Job responsibilities
- You will partner with teammates to create complex data processing pipelines in order to solve our clients' most complex challenges
- You will collaborate with Data Scientists in order to design scalable implementations of their models
- You will pair to write clean and iterative code based on TDD
- Leverage various continuous delivery practices to deploy, support and operate data pipelines
- Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available
- Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
- Create data models and speak to the tradeoffs of different modeling approaches
- Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process
- Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes
- You have a good understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop
- You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting
- Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions
- You are comfortable taking data-driven approaches and applying data security strategy to solve business problems
- Working with data excites you: you can build and operate data pipelines, and maintain data storage, all within distributed systems
- You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments
- Professional skills
- You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives
- An interest in coaching, sharing your experience and knowledge with teammates
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
- Presence in the external tech community: you willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more
Role |
Senior Developer- UI path |
Education |
B.E |
Certification |
Advanced certification in UI Path |
Experience |
4-6 years of relevant experience |
Skills |
Excel, Email, Web automation, Orchestrator, Queue management, RE framework, Automating terminal, mainframes in AS400 Automating ERP tools- SAP, JDE Dynamic coding, reusable components |
Other skills |
Exposure on SQL, API, PDF extraction, VBA and ERP tools |
Project management |
JIRA, Git hub or similar tools |
As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.
- Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
- Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
- Working on Docker images and maintaining Kubernetes clusters.
- Develop and maintain the automation scripts using Ansible or other available tools.
- Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
- Working on Cloud security tools to keep applications secured.
- Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
- Required Technical and Professional Expertise.
- Minimum 4-6 years of experience in IT industry.
- Expertise in implementing and managing Devops CI/CD pipeline.
- Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
- Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
- Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
- Knowledge of Docker and Kubernetes is required.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
- Experience with working with ticketing tools.
- Middleware technologies knowledge or database knowledge is desirable.
- Experience and well versed with Jira tool is a plus.
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.
Basic Qualifications:
∙Bachelors in Computer Science/Mathematics + Research (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from Tier1 tech institutes.
∙3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems.
∙1 year or more of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc).
∙Strong working knowledge of deep learning, machine learning, and statistics.
- Deep domain understanding of Personalization, Search and Visual.
∙Strong math skills with statistical modeling / machine learning.
∙Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow.
∙Experience in using Python, statistical/machine learning libs.
∙Ability to think creatively and solve problems.
∙Data presentation skills.
Preferred:
∙MS/ Ph.D. (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from IISc and other Top Global Universities.
∙Or, Publications in highly accredited journals (If available, please share links to your published work.).
∙Or, history of scaling ML/Deep learning algorithm at massively large scale.