Data Engineer Jobs
By CareerBeacon At Fredericton, New Brunswick, Canada
Flexible hours of work and remote/work from home option
Data architecture experience in on-premises, cloud, and hybrid environments.
5+ years professional experience in a large enterprise (mandatory) or professional services (preferred) environment.
Exceptional oral, written, and listening communication skills.
Specific experience working with Public Service, Utility, and Telecommunication organizations of all sizes (strongly preferred).
Database architecture and data warehousing.

Are you an experienced Data Automation Engineer looking for a new challenge? We are looking for a creative problem solver to join our team and help us develop automated solutions for our data processing needs. You will be responsible for designing and implementing automated processes to streamline data collection, analysis, and reporting. If you have a passion for data and a knack for automation, this is the perfect job for you!

A Data Automation Engineer is responsible for designing, developing, and maintaining automated systems for data processing and analysis. They must have a strong understanding of data structures, algorithms, and software development principles.

What is Data Automation Engineer Skills Required?

• Knowledge of programming languages such as Python, Java, and C++
• Experience with database technologies such as SQL, MongoDB, and Hadoop
• Familiarity with data analysis and visualization tools such as Tableau and Power BI
• Ability to develop and maintain automated scripts and processes
• Understanding of data security and privacy principles
• Excellent problem-solving and analytical skills

What is Data Automation Engineer Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• Relevant certifications such as Certified Data Automation Engineer (CDAE)
• 5+ years of experience in data automation engineering

What is Data Automation Engineer Knowledge?

• Knowledge of data engineering principles and best practices
• Understanding of data warehousing and ETL processes
• Familiarity with cloud computing technologies such as AWS and Azure
• Ability to work with large datasets and complex data structures

What is Data Automation Engineer Experience?

• Experience with data automation tools such as Apache Airflow and Apache NiFi
• Experience with scripting