תאריך עדכון | 01/05/2022 |
תיאור המשרה | ● Build our data infrastructure from scratch, choosing the tools and designing the architecture to allow internal and external stakeholders to best utilize our robust data ● Build and maintain robust and varied ETL/ELT processes from internal and external data sources ● Build and maintain a central data warehouse, managing DWH data quality, security, and availability ● Design, implement and maintain the data model based on evolving business needs ● Initiate and lead implementations of the most recent tools in the data engineering stack ● Work closely with both the Engineering team and business stakeholders to define the end to end data flow in the organization. ● Incorporate best practices and lay the ground for the work methodology You bring to the table (your experience): ● Proven track record of developing and building a data infrastructure ● 5+ years hands on experience working as a Data engineer ● High proficiency in Python and SQL ● Experience working with ETL/ELT tools such as - Fivetran/Rivery/Airbyte ● Experience working with Cloud DWH such as Snowflake/BigQuery ● Experience with SQL and NoSQL databases ● Experience with orchestration tools such as Airflow ● A plus - Experience in data modeling tools such as dbt |
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