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About the role
- Develop and improve services to load, transform and consume data, using cutting-edge technologies and the best tools available in the market;
- Collaborate with data science and operations PMs to maintain a deep understanding of their business needs and support projects that rely on data infrastructure;
- Continuously pursue improvements in scalability, resource efficiency, latency, and flexibility for our data services;
Requirements
- Strong knowledge of data manipulation programming, particularly Python;
- Experience as a software engineer on Data Warehouse / ETL projects;
- Experience with data visualization tools (Tableau, Metabase, Power BI);
- A product mindset, where engineering costs are evaluated against the benefits to the product;
- Solid knowledge of relational and non-relational databases (PostgreSQL, MongoDB);
- Experience with technologies such as Kafka, Cassandra, Airflow, and Spark
Benefits
- Professional development
- Constructive feedback culture
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonData WarehouseETLdata visualizationTableauMetabasePower BIPostgreSQLMongoDBKafka
Soft Skills
collaborationproduct mindsetbusiness understandingresource efficiencyscalabilitylatency improvementflexibility