Experience in programming data pipelines using Python/PySpark., Familiarity with cloud-based ETL tools and data warehousing solutions like Snowflake or Databricks., Ability to connect with relational databases and SaaS products such as Salesforce., Strong analytical skills to create a semantic layer for analytics needs..
Key responsibilities:
Develop and maintain data pipelines using Python and cloud-based ETL tools.
Connect and populate data from various sources into a cloud-based data warehouse.
Create a semantic layer to support analytics requirements.
Collaborate with team members to ensure data integrity and availability.
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