- Be responsible for designing, implementing, and maintaining data pipelines from different sources into the organizational data warehouse (DWH)
- Design and implement robust, scalable solutions that make it easier to identify gaps and the design processes needed to solve them
- Monitor the performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure
- Work with analysts and product managers to understand business priorities and translate requirements into data models
- Collaborate with various stakeholders across the company like data engineers, analysts, data scientists, finance experts, etc.
Requirements
- You’re an independent, self-learner who is passionate about data, understands business processes, and can translate business needs into data models
- You’re a highly analytical individual in data-related positions, preferably within an online company working with large data sets
- Experience in writing complex SQL queries, developing complex data pipelines and coding in Python
- Experience with Airflow, Spark, Great Expectations would be an advantage
- English at a professional capacity and great communication skills, both in person and written
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