Data Analysts & BI Developers

Data Engineer to scale our Data Operations team and help us improve our Data Governance & Data Integration processes. 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 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

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 You are a Master in SQL, optimizing queries for performance, scalability, and ease of maintenance You feel comfortable querying different types of databases (PostgreSQL, Redshift, Snowflake) and have knowledge of different AWS services You're an 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 You have experience building data pipelines using Python You have experience integrating data from multiple sources including DBs, product tracking, and APIs. Experience with AWS Redshift or other distributed systems (Snowflake, Big Query, Hadoop, Vertica, Exasol, etc.). Experience in web analytics and web tracking and event-based analytics tools Experience with workflow managers (Airflow, Luigi, etc.) Experience in queue and streaming systems (SNS, Kafka, Firehose...)

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