We are seeking a highly skilled Senior Data Engineer to join our R&D team as the inaugural member focused on data engineering.
In this pivotal role, you will significantly influence our data strategy and drive innovation.
You will lead the development of our data platform, extending and enhancing our data infrastructures to support research, development, and business intelligence across the organization.
Responsibilities:
Design, develop, and maintain data models, schemas, and database structures to optimize analytics performance
Enhance data workflows to ensure efficient real-time and batch processing
Implement robust data quality checks and monitoring mechanisms to uphold data integrity
Identify and address bottlenecks to sustain a robust and reliable data ecosystem
Collaborate with cross-functional teams to understand data requirements and deliver effective solutions
Lead projects independently, demonstrating initiative and expertise in guiding project teams toward successful outcomes
Stay abreast of the latest data engineering technologies and trends, integrating new tools and best practices to continuously improve our data infrastructure
In this pivotal role, you will significantly influence our data strategy and drive innovation.
You will lead the development of our data platform, extending and enhancing our data infrastructures to support research, development, and business intelligence across the organization.
Responsibilities:
Design, develop, and maintain data models, schemas, and database structures to optimize analytics performance
Enhance data workflows to ensure efficient real-time and batch processing
Implement robust data quality checks and monitoring mechanisms to uphold data integrity
Identify and address bottlenecks to sustain a robust and reliable data ecosystem
Collaborate with cross-functional teams to understand data requirements and deliver effective solutions
Lead projects independently, demonstrating initiative and expertise in guiding project teams toward successful outcomes
Stay abreast of the latest data engineering technologies and trends, integrating new tools and best practices to continuously improve our data infrastructure
Requirements:
Minimum of 5 years of hands-on experience as a Data Engineer
Extensive experience in building data processing infrastructures and ETL pipelines using large-scale, distributed data platforms and technologies
Proven track record of successfully leading complex data projects and expertise in data architecture
Extensive experience with cloud-based data platforms like AWS, Azure, or GCP and tools such as Spark, Kafka, Airflow, DBT, and Snowflake
Strong programming skills in Python, Golang, or other common programming languages and significant SQL experience
Independent learner with a "can do" attitude and a strong sense of ownership
Strong team player with excellent communication skills
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Minimum of 5 years of hands-on experience as a Data Engineer
Extensive experience in building data processing infrastructures and ETL pipelines using large-scale, distributed data platforms and technologies
Proven track record of successfully leading complex data projects and expertise in data architecture
Extensive experience with cloud-based data platforms like AWS, Azure, or GCP and tools such as Spark, Kafka, Airflow, DBT, and Snowflake
Strong programming skills in Python, Golang, or other common programming languages and significant SQL experience
Independent learner with a "can do" attitude and a strong sense of ownership
Strong team player with excellent communication skills
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
This position is open to all candidates.
