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Collaborate closely with the data team to refine and enhance the existing data warehouse and data pipeline architecture.
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Advance and optimize our data marts, ensuring robust, efficient, and scalable data models.
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Leverage your expertise in data engineering and analytics to drive the development of more sophisticated data integrations and analytics solutions.
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Contribute to the improvement of our ETL/ELT processes, focusing on automation, efficiency, and reliability.
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Engage in proactive knowledge sharing, mentoring, and collaboration on advanced SQL, data science, and data engineering best practices.
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Champion data governance and data quality initiatives, setting new standards across the organization.
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Promote and advocate for a sophisticated data-driven culture, influencing decision-making processes and strategic directions.
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Possess significant experience in data engineering and analytics, with a deep understanding of advanced data warehouse concepts and practices.
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Proficient in cloud environments, particularly GCP, with a strong grasp of associated data services and tools.
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Skilled in developing and managing ETL/ELT pipelines, ideally with experience in dbt.
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Familiar with best practices in software development, including CI/CD, TDD, DDD, and product thinking, and able to balance perfection with pragmatism.
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Adept in various programming languages and technologies, including SQL and Python., To succeed in the role of Data Engineer we think that you are a forward-thinker with a passion for driving impactful data solutions and eager to grow with Estrid. You value and contribute to a culture of innovation, knowledge sharing, and continuous learning. You thrive in a fast-paced, high-growth environment, and have a passion for community and disruption.
Contact Detail:
Estrid Recruiting Team