Data Engineer

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💎 Seniority level: Senior, 6+ years

📍 Location: 30+ countries

🔍 Industry: Multilingual content industry

🏢 Company: Smartcat👥 101-250💰 $43,000,000 Series C 4 months agoInformation Technology Software

⏳ Experience: 6+ years

🪄 Skills: PythonETLAirflowData engineeringData modeling

Requirements:

6+ years of experience in data engineering, analytics engineering, or a related field.
Strong background in data modeling, warehousing, managing data quality, orchestration and integration, and efficient data pipeline practices.
Demonstrated ability to manage projects and drive them to successful completion.
Experience in small to medium-sized SaaS organizations with tech-driven products.
High proficiency in Databricks, data modeling and architecture (dbt), Airflow, and Python for data engineering.
Familiarity with business intelligence tools and data sources.

Responsibilities:

Partner with the head of data to architect and enhance the transition to a cloud-based streaming architecture.
Lead the introduction and management of data governance and data operationalization across Smartcat.
Foster a culture of technical excellence in data engineering and analytics engineering.
Collaborate with product, engineering, and business teams to align initiatives with organizational goals.
Stay informed about data engineering trends to recommend productivity-enhancing tools and technologies.

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