Data Engineer
A data engineer is responsible for building and maintaining the architecture that allows for the flow of data within an organization. This role involves the collection, processing, and storage of data ensuring that it is clean, reliable, and accessible for further analysis and utilization by data scientists and analysts.
Data Engineer job description template
We're seeking a data engineer with a strong analytical mindset and a passion for working with data at scale. This role combines technical prowess in data architecture with a keen understanding of business data needs and considerations.
Key responsibilities
Design, build, and maintain efficient, scalable, and reliable data pipelines and architectures using Python and SQL
Collaborate with stakeholders to determine data requirements and implement solutions that fulfill those needs
Ensure data quality and integrity across various sources and platforms
Support data scientists and analysts by providing data pipelines and datasets for their workflows
Identify, design, and implement internal process improvements, including re-architecting infrastructure for greater scalability
Stay up-to-date with emerging trends and technologies in data engineering and make recommendations to improve current practices
Requirements and skills
2+ years of professional experience in data engineering, with a focus on comprehensive data architecture design and implementation
Experience with ETL processes and tools, as well as cloud services such as AWS or Google Cloud Platform
Strong knowledge of SQL and Python for data manipulation and system design
Familiarity with data modeling and database design principles
Excellent problem-solving and communication skills, with the ability to collaborate effectively with cross-functional teams
Hands-on experience with big data tools such as Hadoop, Spark, or Kafka is a plus
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