Data engineer job description
A data engineer builds and maintains scalable data systems, ensuring smooth data integration for analysis. They manage the flow from source to database and data warehouse across a company.
About your company
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About your company
Founded in 2010, Company ABC is a pioneering technology firm at the forefront of artificial intelligence and machine learning. Based in San Francisco with a global presence, our mission is to revolutionise business operations across various sectors through innovative solutions. We pride ourselves on a vibrant workplace culture that promotes diversity, creativity, and professional growth. Join us in shaping the future of technology.
About the data engineer role
Data engineers at [your company] develop, construct, test, and maintain architectures such as databases and large-scale processing systems. They also clean, manage, and optimise data from multiple sources.
Responsibilities
Design and implement scalable and robust data pipelines to support analytics and data processing needs.
Develop and maintain database architectures, including data lakes and data warehouses.
Ensure data quality and consistency through data cleaning, transformation, and validation processes.
Collaborate with data scientists and analysts to gather requirements and deliver data solutions that support business objectives.
Optimise data retrieval and develop dashboards and reports for various user needs.
Implement data security and privacy policies to comply with legal and regulatory requirements.
Qualifications and experience
Bachelor’s degree in computer science, engineering, or a related field.
Proven experience with SQL and database management systems.
Proficiency in programming languages such as Python, Java, or Scala.
Experience with big data technologies such as Hadoop, Spark, or Kafka.
Strong analytical and problem-solving skills.
Familiarity with data modelling and ETL processes.
Skills
Database management
Programming and scripting
Data architecture and modelling
Data integration and ETL processes
Analytical and problem-solving skills
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Paths to becoming a data engineer
To become a data engineer, candidates typically hold a degree in computer science, engineering, or a related field, supplemented by experience with databases, programming, and data analysis tools. Many also pursue certifications in specific technologies such as Hadoop, Spark, or AWS to enhance their expertise and marketability. Practical experience through internships or projects is highly valued for hands-on skills development too.
Career progression for a data engineer
Data engineers have excellent prospects for career advancement into roles such as senior data engineer, data architect, or data engineering manager. Continued learning and specialisation in emerging technologies can further enhance opportunities for progression, to roles in data science and analytics leadership.
Other possible titles for this role
Data architect
Database developer
Data systems engineer