Junior Data Engineer
Global Talent Alliance, Canada
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Company Description Its an exciting time at VeroSource as we continue to grow and expand our footprint into the local digital health market and beyond. We are a progressive, fast-growing company led by a team of experienced Business and IT professionals that has gained a reputation for excellence. We enjoy challenging and rewarding work and the chance to collaborate with an amazing team. We offer a competitive salary and benefits package and promote a healthy work-life balance. Come join us and be part of the team! Where you come in As a Junior Data Engineer, you will work within the Data Science team and with the Business Development and Solutions teams to develop and produce data pipelines and craft useful datasets for creating machine and deep learning models that enrich VeroSource and client applications with accurate data analysis, predictions, and recommendations. Job Responsibilities include, but are not limited to:
Understand business needs and develop solutions through machine learning or other advanced analytics
Work with different members of the team to identify data requirements and help to develop and implement solutions
Help implement automated data pipelines for transforming client data
Data cleaning and feature engineering on datasets to improve model performance
Decipher and solve business problems by developing predictive models
Analyze data and generate visualizations and reports on those analyses
Develop process improvements and integrate new systems with existing frameworks
Validate program operation by conducting QA testing
Identify and escalate data issues to support continuous process improvements
Maintain historical records by documenting program development and revisions
Requirements
Required skills:
1-5 years of experience
Strong analytical and problem-solving skills
Proficient in the use of Python. Proficiency in R would also be a great asset.
Nice to have (but not required):
Knowledge of cloud service providers Machine Learning tools, such as Amazon AWS and Microsoft Azure
Data visualizations skills using Tableau, Power BI or similar
Experience working with Spark and Resilient Distributed Datasets
Experience with data partitioning and partitioning strategies
Experience with RDBMS and data modeling
Fluency working with machine learning frameworks such as Scikit-Learn and TensorFlow
Experience implementing machine learning models in production environments
Experience with artificial intelligence
REST API Development
GIS knowledge and experience, particularly experience with Esri Online products