Senior Data Engineering Developer
By Neo Financial At Calgary, Alberta, Canada
5+ years of strong experience with Python (or similar languages)
2+ years of experience in data modeling in an enterprise data warehouse setting.
Experience using Airflow, s3, and Databricks are highly important.
Build solutions using our high-tech data platform that includes Dbt, Snowflake, Apache Spark, Airflow, Kafka, AWS and Databricks (plus more).
Set the pace and set the bar as one of our best hands-on data engineers at Neo
Write Python code for most projects, including automated tests.
It Data Engineering Jobs
By Energy Jobline At Fort Saskatchewan, Alberta, Canada
Mentor site staff in analytic tool usage & skill development
Translate business needs to technical specifications by transforming and selecting features for modeling data
Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets
Classify unlabeled data or predict into the future with applied statistics and machine learning algorithms
Communicate data analysis and findings through effective data visualizations
Deliver analytic and data engineering solutions including coding and design support
Biomechanical Engineering Consultant - Forensics
By AB Forensics Ltd At Calgary, Alberta, Canada
Good verbal and written communication skills
The position would be based in Calgary, Alberta
Conducting research and analysis of biomechanical effects of accidents and injuries
Analyzing injury risks associated with motor vehicle collisions and other accidents
Collaborating with engineers and scientists to verify information
Presentation of work to clients

Are you a Data Engineering Consultant looking to join a team of innovators and problem solvers? Do you have a passion for data engineering and a drive to make a difference? We are looking for a Data Engineering Consultant to join our team and help us create solutions that will revolutionize the way we use data. You will be responsible for designing and developing data pipelines, data models, and data architectures to support our data-driven initiatives. If you are an experienced data engineer with a passion for problem solving and a desire to make an impact, we want to hear from you!

A DoA Data Engineering Consultant is responsible for designing, developing, and implementing data engineering solutions to meet the needs of the organization. They must have a strong understanding of data engineering principles, techniques, and tools.

What is Data Engineering Consultant Skill Requirements?

• Proficiency in programming languages such as Python, Java, and SQL
• Knowledge of data engineering tools such as Hadoop, Spark, and Kafka
• Ability to design and develop data pipelines
• Knowledge of data warehousing and data modeling
• Ability to analyze and interpret data
• Knowledge of data security and privacy
• Ability to work with stakeholders to identify and address data engineering needs

What is Data Engineering Consultant Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering
• Experience with data engineering tools and technologies
• Knowledge of data warehousing and data modeling
• Knowledge of data security and privacy

What is Data Engineering Consultant Knowledge?

• Knowledge of data engineering principles, techniques, and tools
• Knowledge of data warehousing and data modeling
• Knowledge of data security and privacy
• Knowledge of data engineering tools and technologies

What is Data Engineering Consultant Experience?

• 5+ years of experience in data engineering
• Experience with data engineering tools