By removing all barriers between idea and expression, we empower anyone to create stories and conversations that engage their audience and inspire the world with conversations and stories.
About this role:
taking a new, different approach to building a data driven organization, where data is an internal product we develop, scale and embed in every business domain. We are looking for a Data Analytics Engineer to join our new Analytics team and take a key role in building data ecosystem from the ground up.
In this role, you will go beyond the conventional ETL scripts, and own the design, development and observation of data assets. Making use of state-of-the-art technologies, your pipelines and models will fuel stunning visuals, reports, and raw or refined datasets for internal or external use.
You will join our multidisciplinary Data team, empowering internal customers from Bizops, Product, Sales, Support, Finance and Marketing teams, by developing business centric data products that will help them make better decisions faster.
If you are a self-starter, out-of-the-box thinker and have an eye for detail, we would love to hear from you!
Technical Skills:
Proven experience with SQL; familiarity with dbt and Jinja is highly desirable.
2+ years of experience in developing data pipelines and managing data warehousing.
Intermediate or higher proficiency in Python.
Strong understanding of Software Engineering best practices, including query optimization, version control, code reviews, and documentation.
Experience with scripting, event tracking, and No-SQL databases is a valuable asset.
Professional Skills:
Enjoy working in a fast-paced environment.
Thrive in collaborative settings and enjoy working with cross-functional teams.
Strong analytical and problem-solving skills.
Ability to work independently and manage multiple tasks effectively.
Willingness to stay up-to-date with the latest industry trends and technologies in data engineering and analytics.
Proactiveness to identify opportunities for process improvement and implement best practices.
