Video Editor

Experience in Java

Experience in spring Boot

Experience in microservices

experience in Project management

Experience in leading team

Experience in customer facing

Experience in Product Management

Skills required

·      Certified in Google Analytics (any popular certifier)

·      A minimum of 4+ years of experience in the web analytics domain

·      Consolidated knowledge of the GA4 platform

·      Excellent communication skills (written & verbal)

·      Good understanding of Analytics, Tag Manager, and Data Studio.

·      Basic knowledge of BigQuery & JavaScript

·      Familiar with HTML, CSS and Javascript, and will have the ability to read, reuse and customise code

·      Advanced understanding of Events Tagging and Custom dimensions.

·      Hands-on experience with data visualization (custom dashboards)

Roles and Responsibilities

·      Responsible for managing our Analytics (G4) and GTM accounts

·      Implementation of highly effective web data analytic solutions

·      Visualize customer behavioral data such as page/path analysis, clickstream, funnel progression, CTA optimization, page/site abandonment, etc.

·      Implement tagging and configuration that ensures data collection is accurate and adequate based on the business needs

In-depth knowledge in the following areas.

·      Determine tracking requirements.

·      Create functional and technical design (Dom Scrapping & Custom HTML) of the tags.

·      Install GTM container tag on the live/staging websites.

·      Create, publish and test tags on the live/staging websites.

·      Able to track the successful form submission.

·      Do regular Tag audits for the live/staging websites.

·      Coordinate with the marketing heads to understand and develop custom reports and dashboards.

·      Create specified digital analytics tagging standards to ensure robust and consistent data capturing.

·      Testing and validating the tracking using various debugging tools.

• 5+ Years of experience of relevant experience.
• Understanding of the mobile advertising ecosystem, mediation & bidding setup, a keen eye for gaps in the app monetization strategy, and an innovative mindset to fill them.
• Should be highly-skilled ad revenue management professional with a proven ability to strategize & execute your vision.
• Strong experience in a mobile ad revenue and monetization role.
• Hands-on experience in managing monetization across a portfolio of mobile products.
• Knowledge of Ad Networks, Mediation and RTB.
• Understanding of the Google AdMob framework and experience in dealing with ITV issues.
• Excellent communication skills 
• Ability to ideate & execute    
• Experience in managing & executing monetization across multiple apps (products) and use cases is a big plus    
  
  
  

   

About us:

Ameex is a fast-growing end to end Digital Solution/IT Services company with offices in the USA, Singapore, Belgium and India. We primarily support clients in USA, Singapore, EMEA and Europe region. We provide strategic digital consulting and growth consulting services to our global fortune 500 and midmarket enterprise client. We are committed to deliver high quality digital technology, digital product engineering, MARTECH, and end to end experience and engagement solutions to our global customers. Our solutions spaces extends in the areas of custom application development, Content, ecommerce, mobile app development, analytics and AI/ML to our clients and pride ourselves in delivering best-of-breed products and services on time and within budget.

Our solutions are implemented by world class team of experienced solutions architects, development engineers and Digital IT Managers and are promised to deliver a high quality, on time, highly scalable, easy to maintain, cost-effective solutions that accelerate growth. 

Position:  Elastic Path – Lead

Experience:  8 years

Job Description:

Ameex is seeking 8+ years of relevant experience which includes 3+ years’ experience as a Lead Developer working with Elastic Path to join our innovative team. Candidate will be part of the team working on exciting scalable product catering to huge consumer base. We encourage people who can dive headlong into situations to get things done, set their own direction and feel pride about what they create.

Key Responsibilities:

• Elastic Path Commerce, Headless commerce implementation skills, Java, J2EE, Maven, MySQL DB, Micro Services.
• Writing code that is of high standards in terms of quality and usability while not compromising on security.
• Being a team player in a highly collaborative environment.

Mandatory Skills:

• Development and delivery experience with large-scale Java EE solutions, databases, web servers, networking, security, etc.
• Knowledge/demonstrable experience of Payment Gateways, Catalog Syndication with any leading CMS platforms, Catalog Modelling in B2B or B2C domains.
• Knowledge/demonstrable experience in containers such as Docker and/or orchestration systems such as Kubernetes.
• Experience with other E-Commerce platforms (Magento, Hybris) and third parties highly desired.
• Restful web service patterns of popular frameworks such as Spring-boot, JAX-RS, etc.
• Unit testing, caching strategies, profiling memory management & performance tuning.
• Experience with relational databases
• Experience with Spring, Java, Maven, OpenJPA, OSGI, Apache Felix, Solr, ActiveMQ, Apache Camel.

Connect with us! To learn more about us, check out http://www.ameexusa.com">www.ameexusa.com

Follow us on https://www.youtube.com/channel/UCcMwKRpk-HSH2v7AhAdvQBA/videos">Youtube and https://www.linkedin.com/company/ameex-technologies/">Linkedin

Procol is India's fastest-growing procurement technology company.

Founded in 2018, Procol's solutions have been securely deployed at many $1B+ global companies helping procurement teams reduce costs, digitize procurements, improve compliance by replacing emails and excel workflows with the world's most easy-to-use and secure e-sourcing platform managing a spend of ₹5000 Cr+. Procol is rated 4.9/5 ⭐️ by trusted enterprises on G2 and has been featured by Forbes.

We're a team of ex-Google New York, Zomato, OYO who've worked at high-impact, growth companies and believe that we're on the journey of building one. Backed by investors like Blume Ventures, Sequoia Surge, Beenext, and Rainmatter.

Hiring Technical Lead

You will scale and lead Procol’s engineering teams. You’ll be instrumental in driving the product vision and will be responsible for hiring, developing and leading engineers to seamlessly execute our technical roadmap.

You come from experience but are not as psyched with your current pursuits and believe that there’s something more important to be done with your time.  If you are a hustler who likes to take challenges and want to join a team of like-minded enthusiastic individuals then we want you on-board.

What you’ll bring

• You have 4+ years of experience with system architecture and have built scalable software infrastructure.
• You are a hands-on programmer and prefer to spend 20-30% of your time writing production grade code with your team.
• You have sound understanding of software engineering principles, both for code and for people
• You have experience of leading engineering teams. 
• You are emphatic and highly customer obsessed.
• You have an eye for great products and can work effectively with product managers, engineers and designers to build them.

What you'll do

• Build, scale, develop and manage teams that are collaborative, inclusive, and respectful of each other.
• Scope and lead large technical projects with enormous impact. 
• Manage the processes necessary to operate the engineering teams effectively.
• Drive and contribute to company-wide engineering initiatives.
• Plan and prioritize short term and long term engineering goals and guide teams through planning, prioritization, and execution of work.
• Mentor and guide the professional and technical development of your team members. Focus on developing their careers, and assign them to projects suitable to their skill levels, work styles, and professional goals.
• Own your team’s deliverables and ensure we continue to ship scalable, highly-available products that delight our customers.
• Support the engineering and product teams in achieving a high level of technical quality, reliability, and ease-of-use.

Why you'll love Procol

• Learn and grow fast with a growing startup which impacts millions of businesses
• Work closely with the founding team and become a part of building a successful company
• Openly collaborate with few of India’s most talented folks, who will challenge you every day
• Industry competitive salary and benefits

• Get advance salaries every month
• Employee health insurance covered by us
• Flexible working hours

Procol is an equal opportunity employer and we believe diversity is key to our success.

• Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
• Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”. 
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. 
• Partner with data scientists to understand and implement machine learning algorithms. 
• Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models. 
• Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. 
• Mentor junior team members 

Who we have in mind:

• Graduate in Computer Science or related field, or equivalent practical experience. 
• 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
• Proficiency with SQL,  Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
• Familiarity with deep learning frameworks such as TensorFlow or Keras
• Experience with Computer Vision (OpenCV),  NLP frameworks (NLTK, SpaCY, BERT).
• Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). 
• Understand machine learning principles (training, validation, etc.) 
• Strong hands-on knowledge of data query and data processing tools (i.e. SQL) 
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. 
• Experience deploying highly scalable software supporting millions or more users 
• Experience building applications on cloud  (AWS or Azure) 
• Experience working in scrum teams with Agile tools like JIRA
• Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users