Full-Time Lead Data Engineer

Lead Data Engineer

About the Role:

Manage and grow a remote team of data engineers based in Europe.

Responsibilities:

• Collaborate with Platform and Data Architecture teams to deliver robust, scalable, and maintainable data pipelines.
• Lead and own data engineering projects, including data ingestion, transformation, and storage.
• Develop and optimize real-time data processing pipelines using technologies like Apache Kafka/MSK or similar.
• Design and implement data lakehouses and ETL pipelines using AWS services like Glue or similar.
• Create efficient data models and optimize database queries for optimal performance.
• Work closely with data scientists, product managers, and engineers to understand data requirements and translate them into technical solutions.
• Mentor junior data engineers and share your expertise. Establish and promote best practices.

Requirements:

• Strong Python Proficiency: Deep understanding of Python, including data manipulation and analysis libraries like Pandas and NumPy.
• Data Engineering Expertise: Extensive experience in data engineering, including ETL, data warehousing, and data pipelines.
• Cloud Platform Proficiency: Strong knowledge of AWS services, such as RDS, Lake Formation, Glue, Spark.
• Real-Time Data Processing: Experience with real-time data processing frameworks like Apache Kafka/MSK.
• Database Skills: Proficiency in SQL and NoSQL databases, including PostgreSQL, Opensearch, and Athena.
• Data Modeling: Ability to design efficient and scalable data models.
• Problem-Solving and Analytical Skills: Strong analytical skills to identify and solve complex data problems.
• Collaboration Skills: Excellent communication and collaboration skills to work effectively with cross-functional teams.

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