Senior Data Engineer

il y a 4 semaines

Paris, France Ogury Temps plein
About the Role This is an exciting opportunity to shape the future of Ogury’s data platform, make data available to all teams and enable them to take well-informed data-driven decisions.The team worked hard in the past months to streamline and optimise our data load and transformation pipelines using Redshift, DBT, Airflow and CI tools (Jenkins). The next challenges ahead of us are:Near-real-time data reporting and analyticsEnabling all engineering teams to load and transform their dataEnforce the highest standards of data quality and reliabilityAll this at a truly large scale Our data lake holds Petabytes of data and we ingest and transform several terabytes per day

What you will be doing

Build and maintain the data platform from the pipeline itself to the documentation, dictionary, and critical support processes Identify, design and implement solutions for data processing and governance. Current key areas of improvements include: Near-real-time reporting, end-to-end data documentation and self-service analytics. Mentor other data engineers, drive excellency and software craftsmanship within the team and across the organization Evangelize data engineering and architecture best practices in the engineering team, building a data culture based on the highest quality and reliability standards

About you

Experience as a Data Engineer, focusing on building scalable data solutions Proficiency in Python and SQL Significant experience with a cloud provider (AWS preferred) Experience with Cloud Data Warehouses or OLAP engines (Redshift, Snowflake, Clickhouse, Ocient, et al) Strong experience modelling data warehouses and building data pipelines Experience with Kafka, Airflow and dbt Team-player, curious, always eager to improve our current tools Keen sense of data as a product and how it can serve the company Proficiency in English, oral and verbal. #LI-HP1 #LI-Hybrid

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