Data Engineer (OLAP - Analytics / Insights)

Company:
Location: Biassono, Lombardia

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At Docebo Data Strategy our mission is to help internal teams get the most out of the data platform.
We are looking for an exceptional Data Engineer passionate about data, who can think and act globally, having the ability to contribute in fostering effective innovations in the industry.
As Analytics Data Engineer you will be working with a team of data engineers, data scientists, data architects, business and tech-savvy professionals leveraging top-notch technologies to extend the potential of our analytics products in terms of data integrity, scalability, and availability.
The ideal candidate should possess a data engineering background that can lead him/her to think strategically and add value to the customer experience. He/She will experience a wide range of problem-solving situations, requiring extensive use of data analysis, collection and transformation techniques.

Reports to: Product Data Strategist

Location: Biassono

Responsibilities:

As Analytics Data Engineer, you'll design and develop analytics systems and pipelines on AWS large-scale infrastructure to ensure that other teams can rely on the proper architecture, metadata, models, and support they need to run our core business.

Requirements:

  • Bachelor's degree in a technical or engineering field or equivalent practical experience.
  • At least 2 years of experience with database design and querying (e.g. SQL, GraphQL, etc.),
including data analytics and data warehousing (e.g. Kimball model).
  • At least 2 years of hands-on experience implementing ETL (or ELT) best practices at scale.
  • At least 2 years of hands-on experience with AWS data pipeline tools (e.g. AWS Data Pipeline, AWS Glue, AWS Kinesis, AWS Lambda, AWS Redshift, AWS RDS, AWS Timestream, etc.) or equivalent DaaS / PaaS platforms

Preferred requirements:

  • Programming experience in one or more of the following: Java, Python, JavaScript, NodeJS, C#, Ruby
  • Knowledge of solution architecture within web/mobile environments, web/internet-related
technologies, architecture across Software-as-a-Service, Platform-as-a-Service, Infrastructure-
as-a-Service and cloud productivity suites.
  • Experience as data engineer, database architect or database administrator who performs data
platform requirements analysis and is involved in stakeholder management.
  • Ability to work, communicate effectively and influence stakeholders on internal/external
engineering teams, product development teams, sales operations teams and external partners
and consumers.

About Docebo:

Here at Docebo, we power learning experiences for over 2,000 customers around the world with our easy-to-use, AI-powered Suite designed to close the enterprise learning loop. We have successfully achieved 2 IPOs (TSX: DCBO & NASDAQ: DCBO (https://www.docebo.inc/home/default.aspx)), been recognized as a Top SaaS e-learning Solution, and are growing exponentially in the process.

Docebo is a global company with offices in North America, EMEA, LATAM and more. Our people believe in six core values, simply defined and manifested in everything we do - Innovation, Simplicity, Accountability, Togetherness, Curiosity, and Impact. If this sounds like you, now is your time to join one of the fastest-growing learning technology companies on the market. Apply today!

Docebo is an Equal Employment Opportunity employer. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.

Any individuals with a disability requiring reasonable accommodation to assist with their job search or application for employment should send an e-mail to recruiting_accommodations (at) docebo.com. The e-mail should include a description of the requested accommodation and the position you're applying for or interested in.

*** Mention DataYoshi when applying ***

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