Intermediate Data Engineer
3 weeks ago
Toronto, Fredericton, or Halifax, Canada | Posted on 03/13/2024
It’s an exciting time atVeroSource as we continue to grow and expand our footprint into the localdigital health market and beyond. We are a progressive, fast-growing companyled by a team of experienced Business and IT professionals that has gained areputation for excellence. We enjoy challenging and rewarding work and thechance to collaborate with an amazing team. We offer a competitive salaryand benefits package and promote a healthy work-life balance. Come join usand be part of the team
- Understand business needs to help create projectrequirements, and using those requirements to identify software and analysistasks needed to meet program objectives
- Lead team members in identifying anddeveloping data requirements, process improvements, and integrating new systemswith existing frameworks
- Lead in the design and implementation ofautomated data pipelines for transforming client data
- Data cleaning and feature engineering ondatasets to improve model performance
- Analyze data and generate visualizations andreports on those analyses
- QA testing & identifying data quality issues
As a DataEngineer, you will be one of the leadersin the Data Science team, working with junior members and with the BusinessDevelopment and Solutions teams to develop and produce data pipelines and craftuseful datasets for creating machine anddeep learning models that enrich VeroSource and client applications withaccurate data analysis, predictions, and recommendations.
Requirements Required Skills:
- 5 +years of experience
- Very strongproblem-solving skills
- Ability to work with limited direction anddifficult project requirements to create needed outcomes
- Pro fi cientin the use of Python and R
- Solid experience working with AWS cloudservices such as RDS, Glue, and Athena. Experience with Microsoft Azurecloud services would be an asset
- Demonstrable experience inunderstanding how dataset design affects model choice and resultingprecision and accuracy of output
- Data visualizations skills usingTableau, Power BI, or similar
- 5 +years of experience
- Very strongproblem-solving skills
- Ability to work with limited direction anddifficult project requirements to create needed outcomes
- Pro fi cientin the use of Python and R
- Solid experience working with AWS cloudservices such as RDS, Glue, and Athena. Experience with Microsoft Azurecloud services would be an asset
- Demonstrable experience inunderstanding how dataset design affects model choice and resultingprecision and accuracy of output
- Data visualizations skills usingTableau, Power BI, or similar
- Experience with git and workingwithin an Agile software development environment
- Experience working with Spark andResilient Distributed Datasets
- Experience with data partitioningand partitioning strategies, RDBMS, and data modeling
- Experience implementing machinelearning models in production environments
- Fluency working with machinelearning frameworks such as Scikit-Learn and TensorFlow
- Knowledge of cloud service providersMachine Learning tools, such as Amazon SageMaker
- Experience with arti fi cial intelligence
- REST API Development
- GIS knowledge and experience, particularly experience withEsri Online products
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