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We are looking for a Data Engineer to scale our Data Operations team and help us improve our Data Governance & Data Integration processes. This Role’s mission will be: Ensure we are able to keep all data in our DWH updated and accessible for analysis; Partner with the Data analysts to support the requirements of the company in terms of analytics, reliability and efficiency; Develop and maintain data pipelines to extract data from different sources and integrate it in the DWH following data modeling best practices.
Job Responsibility:
Ensure we are able to keep all data in our DWH updated and accessible for analysis
Partner with the Data analysts to support the requirements of the company in terms of analytics, reliability and efficiency
Develop and maintain data pipelines to extract data from different sources and integrate it in the DWH following data modeling best practices
Take charge of the required data processing while ensuring sustainable and organic growth of the data model and the infrastructure
Keep our data infrastructure up to date and working like a clock
Integrate and model datasets from different sources
Support our Data Analysts & BI Developers to get the right data to build awesome dashboards and complex analytical models
Support Product and Analytics teams in defining the best approaches for data modeling
Use data to investigate and help resolve issues in our product or processes
Proactively suggest improvements to data reliability, efficiency and quality
Champion a healthy data culture throughout the organization
Requirements:
3+ years of relevant experience as a Data Engineer, Business Intelligence, Big-Data Engineer or similar role working with large-scale data systems
Excellent communication skills, both written and spoken, in English
Master in SQL, optimizing queries for performance, scalability, and ease of maintenance
Comfortable querying different types of databases (PostgreSQL, Redshift, Snowflake) and have knowledge of different AWS services
Ace at data modeling, accustomed to designing and implementing complex architectures with a constant eye on their future evolution while taking into account the needs of multiple users
Experience building data pipelines using Python
Experience integrating data from multiple sources including DBs, product tracking, and APIs
Instinct for automation
Desire to work in an international environment, with minimal direction, and with highly engaged individuals
Nice to have:
Experience with AWS Redshift or other distributed systems (Snowflake, Big Query, Hadoop, Vertica, Exasol, etc.)
Basic DBA skills
Experience in web analytics and web tracking and event-based analytics tools
Experience with workflow managers (Airflow, Luigi, etc.)
Experience with dbt
Experience in queue and streaming systems (SNS, Kafka, Firehose…)
What we offer:
Competitive compensation including equity in the company
Generous vacation days so you can rest and recharge
Health perks such as private healthcare or gym allowance depending on your location
Flexible compensation plan to help you diversify and increase the net salary
Unforgettable TravelPerk events including to travel to one of our hubs
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