... important business questions that the data models would be able to ... a plus. Technologies we use: Data Warehouse Big Data: Snowflake, ADL, and Postgres Reporting: Power BI Data Pipelines: Kafka, Python, SQL, Airflow, ...
... about leveraging the latest in data engineering to empower our data & business strategies and drive insightful ... skills to work with data analysts and other stakeholders effectively. ... 40 minutes) Technical interview with Data Engineer and hiring manager (up ...
... an innovation-first approach, a big focus on core development, attacking ... Python, Scala, or SQL for data manipulation and transformation. Hands-on ...
... . Our data stack We collect data from dozens of data sources, ranging from transactional data, availability data, payments data, customer event-level data, voice-of-customer data, third party data and much much ... big ambitions. We transformed our business ...
... experience in on-premise BI Big Data class solutions or 3 years ... the field of relational databases, data warehouses, analytical bases (OLTP OLAP), BigData, data processing and transformation processes (ETL ...
... decisions leadership in analytics: mentoring junior analysts, fostering a culture of excellence and continuous learning within the team data visualization and reporting: Creating and ...
... IT with a focus on Data Engineering. Experience with designing data platforms on AWS. Including designing ... relational and non-relational databases, data warehouses, ETL ELT processes, and data management tools. Experience with various ...
... support. In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration. Strong project management skills, ...
... proven track record of managing data pipelines in complex data landscapes. Data Architecture Knowledge: Solid understanding of data integration methods, ETL ELT processes, ...
... in development and maintenance of data management solutions (data warehouses, data integration, BI reporting, Big Data), defining data and information management strategies in ...