SAP Solution Architect

• Develop strategies that drive customers to the website
• Metrics Tracking & measure ROI.
• Use advanced metrics to measure the success of a marketing campaign
• Identify trends and insights, and optimize spend and performance based on the insights
• Brainstorm new and creative growth strategies
• Collaborate with internal teams to create landing pages and optimize user experience
• Up-to-date with the latest trends and best practices in online marketing and measurement
• Highly creative with experience in identifying target audiences and devising digital campaigns that engage, inform, and motivate
• The candidate would need to be well versed with different types of organic as well as paid marketing
• Completes digital marketing department operational requirements by scheduling and assigning employees and following up on work results.

"Hands-on experience with minimum 3 years of programming experience in JAVA 8 (or) 11.
Good experience using Springboot, Hibernate or JPA frameworks, Spring Security, Spring MVC (or) Spring Ioc (or) Spring AoP (or) any other spring framework.
Good experience in utilizing & working in Restful Webservices & Java Collection."
"Experience in Swagger, Microservices, Basic security, Design patterns.
Good Experience in utilising & working with Cosmos (or) MySQL."

• Experienced in writing queries and stored procedures in SQL.
• Hands-on in developing and supporting batch-based systems, with experience in data profiling and debugging.
• Experience in performance tuning techniques and tools

• Working with the development team to create physical database schemas.
• Optimising database design for optimal performance.
• Advising on best practices for developers interacting with the database.
• Developing and testing SQL and stored procedures.

Client  Client is an MNC that provides online display advertisements focussed on retargeting to brand audience. It offers personalized retargeting tools for internet firms, marketing experts and publishers ranging from customer acquisition, audience match and App advertisement to design and analytical tools.

Role: : Technical Solutions Engineer, Reseller & Agency Solutions  

Location: Hyderabad

Salary 14-18 LPA

Job Description

Roles & Responsibilities

• Understanding of Criteo products’ integration flows from a technical and sales perspective
• Provide the necessary technical trainings to the Resellers
• Discuss integrations with commercial representatives and support them through the process
• Plan the communication strategy with the resellers to improve efficiency
• Co-ordinate 3rd parties involved on each integration
• Providing feedback to both our internals’ engineering team and the reseller
• Pipeline reporting
• Work in a fast-paced innovative environment and be cool under pressure Optimize existing client set up.
• Support the troubleshoot of live campaigns to improve campaign performance and customer satisfaction
• Support the technical rollout of new products added on the client’s portfolio such as App or Web Continuous improvement of processes and tools:
• Participate with the wider global team to improve and develop new tools and processes.
• Contribute to the improvements of the product integration methodology
• Redefine processes to make the Technical Solutions team more efficient and be partners of the business teams
• Proactive development of tools and solutions that will support the growth of our South APAC team and facilitate the day-to-day job of your team members
• Provide guidance to other team members on areas of expertise
• Identify bugs, report them and work close to our internal teams on their resolution

Who You Are

• Degree in computer science or technology related degree.
• Fluent in English, both spoken & written.
• Experience in reviewing and debugging code in the following software languages: HTML, JavaScript, XML, SQL
• Experience related to Android and iOS platforms is advantageous.
• Strong interpersonal and communication skills across all levels of interlocutors
• Experience working closely with internal clients throughout the full implementation of the project.
• Ability to work on multiple projects at once, prioritize and execute a large number of tasks, and resolve issues quickly
• Proactivity associated to a “can do” way of working
• Team spirit oriented, sharing best practices and open to train other team members
• Problem solving and a positive attitude in a fast pace environment
• Autonomous personality and interested in taking initiatives and lead on projects
• Can work in full autonomy and as part of a team.
• Attention to detail to act as a consultant and be reactive in front of any potential situations
• Passion for new media, internet trends and continual learning

What You’ll Do:

• Enable and exercise your problem solving and analytical skills.
• Design and develop Java/J2EE based full stack software components including complex modeling, MVC based UI, etc.
• Ensure applications are implemented to meet business and technical requirements.
• Work with high performing engineering teams across global locations.

.What You Need to Be Successful:

• Bachelor’s degree in Computer Science or equivalent.
• Solid 5-10 years hands-on design and coding experience.
• Familiarity with Agile development, JSF/Primefaces, JPA/Hibernate, Spring, ActiveMQ.
• Strong object-oriented design, Java/J2EE and MVC architecture based programming skills.
• Solid relational DBMS skills using MySQL, or other RDBMS products.
• Desirable - Experience in Big Data Technologies (Hadoop, ElasticSearch, Kafka, MongoDB, etc.)
• Nice to have - Real-world experience in large scale, and high availability implementations.
• Experience developing web services using REST and SOAP approaches.

We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

• Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
• Experience with Deep Learning preferred.
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Proficiency in using query languages such as SQL, Hive, Pig 
• Good applied statistics skills, such as statistical testing, regression, etc.
• Good scripting and programming skills 
• Data-oriented personality