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Technical Trainer

Become Part of A Unique Global Team

Technical Instructor - Data Science & Analytics

At Alfa Xprienz, we leverage technologies to drive innovation and enable businesses to transition into digitally mature organizations. We will help you start small, start simple and scale fast. We do this by building and running on the world's best data and AI infrastructure platforms, so our customers can benefit on solving challenges that are hindering their organizational mission.


Our driving force at Alfa Xprienz is that we grow and innovate heavily in areas that improve productivity and operational efficiencies in order to ensure that we collaboratively continuously deliver the highest quality products to your customers.


Become part of a uniquely Global Team with innovation at the forefront leveraging technology in driving amazing experiences. We are looking forward to you joining our amazing team in any of our professional and expert roles. We have an amazing culture of growing and learning together, whilst we create exciting solutions to problems of businesses, organizations, governments and individuals.

The Role Requires You To:

Teach data scientists, data engineers, and analysts about our data science and analytics platforms and tools using a teaching platform and courseware built by the team behind Alfa Xprienz itself. You will teach at customer sites, at conferences, virtually, and at Alfa Xprienz headquarters. This role requires both engineering and classroom management skills.

What you are responsible for

  • Deliver instructor-led classroom training to end-user customers (developers, data scientists, analysts, architects) and partners on a regular schedule abroad.
  • Own the engagements you deliver. We have logistics support, but ultimately it is up to you to ensure that you have what you need to deliver high value events and reach out when you need help.
  • Be an ambassador for Alfa Xprienz.
  • Bring feedback and your lessons from delivering in the field to the core curriculum team so we can integrate that back into what we are teaching.

What We Require:

  • MS/PhD in Computer Science, Data science, Data Analytics, or a related field
  • Experience teaching multi-day, in-person technical classes
  • Experience using videoconferencing products (Zoom, GoToTraining, Webex)
  • Ability to quickly learn, grasp, and explain advanced concepts
  • Strong speaking skills for both technical and non-technical audiences
  • Ability to travel 50% of the time (once pandemic travel restrictions are lifted)
  • Solid grasp of programming principles (object oriented and functional). At least medium level proficiency in one of: Java, Scala, Python, R
  • Proficiency in SQL
  • Experience working as or with one or more of the following personas: Data Architects, Data Engineers, Data Scientists, Data Analysts
  • Hands-on proficiency in Apache Spark, Redshift/Snowflake/Azure SQL DW, MapReduce
  • Production experience in machine learning, data warehousing, building data pipelines, microservices and container orchestration, CI/CD
  • Experience with cloud platforms and the ecosystem of big data tools

Benefits

  • Health insurance reimbursement and collective healthcare scheme
  • Life, accident and disability coverage
  • Company Pension
  • Paid parental leave
  • Annual vacation bonus


We Are Commited to Diversity and Inclusion

At Alfa Xprienz, we are committed to fostering a diverse and inclusive culture where everyone can excell and grow. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Alfa Xprienz are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

TALK TO US

Talk to one of our experts to discover how Alfa Xperienz Solutions can help you achieve your AI and data-driven aspirations.

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