Overview
The Data Engineer plays a crucial role in the organization as they are responsible for designing, developing, and maintaining the company's data architecture and infrastructure. They work closely with data scientists and analysts to ensure data is properly collected, stored, and accessible for analysis and reporting.
Key Responsibilities
Design and implement data pipelines and ETL processes
Develop and maintain databases, data warehouses, and data lakes
Collaborate with data scientists to translate algorithms into production systems
Create and maintain optimal data pipeline architecture
Identify, design, and implement internal process improvements
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Work with stakeholders including the executive, analytics, and data engineering teams to assist with data-related technical issues
Design and implement data models and data architecture
Develop and optimize SQL queries
Monitor and maintain data quality, integrity, and security
Implement and maintain data governance and privacy measures
Keep up-to-date with the latest technologies and best practices in data engineering
Document and communicate technical solutions and best practices to the team
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, or related field
Proven experience as a Data Engineer or similar role
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
Proficiency in ETL tools, data modeling, and database design
Strong programming skills in languages like Python, SQL, or Java
Experience with big data technologies such as Hadoop, Spark, or Kafka
Experience in data pipeline orchestation and automation
Experience in implementing and managing machine learning pipelines is desirable
Bachelor's Degree