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We are seeking a skilled Cloud Data Engineer who has experience with cloud data platforms like AWS or Azure and especially Snowflake and dbt to join our dynamic team. As a consultant, you will be responsible for developing new data platforms and create the data processes. You will collaborate with cross-functional teams to design, develop, and deploy high-quality frontend solutions. 

Responsibilities:

Customer consulting: You develop data-driven products in the Snowflake Cloud and connect data & analytics with specialist departments. You develop ELT processes using dbt (data build tool) 

Specifying requirements: You develop concrete requirements for future-proof cloud data architectures.

Develop data routes: You design scalable and powerful data management processes.

Analyze data: You derive sound findings from data sets and present them in an understandable way.

Requirements:

Requirements management and project experience: You successfully implement cloud-based data & analytics projects.

Data architectures: You are proficient in DWH/data lake concepts and modeling with Data Vault 2.0.

Cloud expertise: You have extensive knowledge of Snowflake, dbt and other cloud technologies (e.g. MS Azure, AWS, GCP).

SQL know-how: You have a sound and solid knowledge of SQL.

Data management: You are familiar with topics such as master data management and data quality.

Bachelor's degree in computer science, or a related field.

Strong communication and collaboration abilities to work effectively in a team environment.

Skills & Requirements

Cloud Data Engineering, AWS, Azure, Snowflake, dbt, ELT processes, Data-driven consulting, Cloud data architectures, Scalable data management, Data analysis, Requirements management, Data warehousing, Data lake, Data Vault 2.0, SQL, Master data management, Data quality, GCP, Strong communication, Collaboration.

DA DS Trainer JD:

Key Responsibilities:

Develop and deliver comprehensive training programs on data science topics, including machine learning, artificial intelligence, big data, data mining, and predictive analytics.

Create engaging and interactive training materials, including presentations, hands-on exercises, case studies, and assessments.

Conduct classroom, online, and one-on-one training sessions for students at different skill levels.

Evaluate students' performance and progress, providing feedback and support to help them improve.

Stay up-to-date with the latest trends and best practices in data science and incorporate them into training programs.

Collaborate with other trainers and industry experts to continuously improve training content and methodologies.

Assist in the development of training schedules and manage training logistics.

Provide mentorship and career guidance to students aspiring to build a career in data science.

Qualifications:

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.

Proven experience as a Data Science Trainer or a similar role.

In-depth knowledge of data science concepts and hands-on experience with tools like Python, R, TensorFlow, and Hadoop.

Excellent presentation and communication skills.

Strong organizational and time-management abilities.

Ability to simplify complex concepts and deliver them in an understandable manner.

Certification in Data Science (e.g., Microsoft Certified: Azure Data Scientist Associate) is preferred.

Preferred Skills:

Experience with LMS (Learning Management Systems) and e-learning platforms.

Strong analytical and problem-solving skills.

Ability to adapt training methods to different learning styles.

Passion for continuous learning and professional development.

Benefits:

Competitive salary and performance-based incentives.

Professional development opportunities.

Flexible working hours.

Collaborative and innovative work environment.

Responsibilities:

Your Major Job Responsibilities as an ODOO Developer would be:

· You will lead and participate in various development projects for our products and services and be involved in all development-related aspects of our technical operations.

· Take Initiative for the required changes in the software development process to manage overall quality.

· Solve complex performance and other critical problems and architectural challenges.

· Develop applications/features that affect everyday life.

Required Skills Sets:

· Strong knowledge of Python and programming concepts.

· Complete understanding of ODOO basic flow.

· Knowledge of data models available in ODOO core.

· Proven expertise in developing custom modules in ODOO.

· ODOO Technical functional knowledge.

· Experience in developing the latest versions of ODOO and Excellent debugging skills in Odoo.

· Experience in migrating from earlier ODOO versions to latest versions.

· Core knowledge about the current features available in ODOO – Sales, Purchase, CRM, Accounts, Inventory, Projects, Timesheet, HR etc.

· Knowledge in handling ODOO front end (XML and Java Script)

· Good knowledge of PostgreSQL with the ability to write SQL queries.

· View customization – work on Widgets, Wizards, Java Script, view XML etc.

· Q-Web reports creation.

· Data import using ODOO import as well as custom import using Python.

· Knowledge of Version Control Systems like git.

The key skills and expertise needed are:

1. eCommerce/Retail experience can be optional but needs to have experience with any high volume customer facing web/mobile site

2. Web Development, Front End Development, AND In the browser performance profiling

3. Java, Spring Boot, React, Node, Redux, Webpack, Microservices, AND experience with AWS technologies to make the overall application stack more resilient

4. Performance Profiling of web/mobile experiences and experience with working in CICD environment

5. Experience working with Web based and mobile ecommerce sites or similar public facing websites with high customer volume

6. Needs to be able to work at the code level doing performance profile to evaluate how the website and associated digital platform is built to find performance improvement opportunities

Role & Responsibilities

• Application Architecture: Design and implement application environment
• Manage the configuration and operation of client-based (on-premise) computer operating systems
• Monitor the system daily and respond immediately to security or usability concerns
• Create and monitor the disaster recovery (DR) of all servers.
• Respond and assign a team to resolve help desk requests
• Monitor and maintain server functionality and security issue.
• Administrate infrastructure, including firewalls, databases, malware protection software and other processes
• Automation configuration management using either Ansible, Puppet, Chef or an equivalent
• Manage and administer servers, networks, and applications such as DNS, FTP, and Web servers.
• Troubleshoot in-house network issues and fix them.
• Provide solutions to complex problems on the integration of various technologies
• Design plans as well as lead initiatives for the optimization and restructuring of network architecture
• Monitor the environmental conditions of a data center and cloud servers to ensure they are optimum for servers, routers, and other devices
• Collaborate with IT handlers, sales, and data center managers to develop an action plan for improved operations
• Conduct inspections on power and cooling systems to ensure they are operational and efficient
• Resolve operational, infrastructure or hardware incidents in a data center and cloud servers.
• Monitor and maintain company assets
• Infra-team management and skills enhancement (training) plans and execution

Skills

• In-depth knowledge of the Linux Operating System
• Expertise in Shell and/or Python scripting
• In-depth knowledge of any of the CI/CD tools like Jenkins/GitLab etc.
• Basic knowledge of monitoring tools like Zabbix/ Nagios etc.
• Expertise in any one of the cloud providers like AWS, Google Cloud, Microsoft Azure and other cloud solution providers
• Strong experience with SQL and MySQL
• A working understanding of code and script (PHP, Python, Angular and NodeJS)
• Ability to use a wide variety of open-source technologies
• Knowledge of best practices and IT operations
• Basic experience with VMware
• Advanced knowledge of system vulnerabilities and security issues