Data Engineer

Graebel Companies, Inc.; Ontario; Remote; CAD 140,000 - 175,000; Full time

Job summary

A leading company in talent mobility seeks a Data Engineer to design and implement data solutions that support analytical needs. With a focus on data accessibility and technical problem-solving, this mid-senior level role offers a salary range of CAD 140,000 to CAD 175,000, embodying a commitment to exceptional service and innovative approaches. The successful candidate will work independently and collaboratively on various projects using Azure Databricks, ensuring seamless data integration within diverse business environments.

Qualifications

• 5+ years of data engineering experience.
• 2+ years with Databricks and Azure Stack.
• Experience in cloud platform solutions.

Responsibilities

• Design and build modern data pipelines.
• Assess client needs for bespoke data solutions.
• Enable analysis and decision-making across data sources.

Skills

Transforming business needs into technical solutions

Mapping data and analytics

Data profiling

Business problem-solving using Azure Databricks

Building Enterprise Semantic layers

Preparing data for pipelines

Working independently

Functional and design specifications review

Tools

Databricks

Microsoft Azure Stack

Git

Python

MS D365

Power BI

Power Query

Fabric

Job description

Join to apply for the Data Engineer role at Graebel Companies, Inc.

Join to apply for the Data Engineer role at Graebel Companies, Inc.

Graebel Companies, Inc. provided pay range

This range is provided by Graebel Companies, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$140,000.00/yr - $175,000.00/yr

This role can be based remotely in the Greater Toronto Area, Ontario, Canada.

Are you ready to open a world of opportunity in talent mobility? Our clients include some of the largest and most recognized brands in the world. They’re innovators and leaders in their industries, making life-enhancing breakthroughs every day. We help them tap into those opportunities by placing their exceptional people where they need to be, anywhere in the world. When it comes to service, we set the bar for exceptional … and then we raise it with fresh ideas, leading tools and innovative approaches, and it’s all grounded in our values of truth, love, and integrity. We call it People-first Mobility. We’re looking for exceptional people who share those values along with our passion for delivering the highest levels of service. If that sounds like you, and if you’re ready for a new career opportunity, we’d like to hear from you! Here’s to the world ahead.

As a Data Engineer, you know the importance of data to the business. You design and set up projects that bring together information from a variety of sources, to enable analysis and decision-making. You make sure that data is accessible and easy to use, so that it can be used for routine and ad-hoc analysis. You draw on your considerable experience in bringing data to life to solve sometimes complex problems, and you are comfortable looking after several projects at once.

• Give colleagues and clients the tools to find and use data for routine and non-routine analysis.
• Use your sound eye for business to translate business requirements into technical solutions.
• Analyze current business practices, processes, and procedures to spot future opportunities.
• Assess client needs to build bespoke data design services.
• Provide exceptional Support to our business partners
• Build the building blocks for transforming enterprise data solutions.
• Design and build modern data pipelines
• Implement effective metrics and monitoring.
• Be comfortable making your own decisions and guiding your colleagues.
• Design and develop technical best practices for modeling and report design

Required Skills

• Transforming business needs into technical solutions
• Mapping data and analytics
• Data profiling, cataloguing, and mapping to enable the design and build of technical data flows.
• Use proven methods to solve business problems using Azure Databricks
• Building or being part of the build of an Enterprise Semantic layer
• Experience in preparing data for and building pipelines and architecture.
• Capable of working independently to solve problems under deadlines and to manage multiple projects/priorities under time constraints.
• Review functional and design specifications to ensure a full understanding of individual deliverables.

Required Experience

• 5+ years of data engineering experience.
• 2+ years of hands-on experience with both Databricks and Microsoft Azure Stack to support new system architectures.
• Experienced with designing and deploying end-to-end solutions with a cloud platform's analytic services including storage, permissions, private cloud, Infrastructure as Code (IAC), database services, virtual machines, and parallel processing technologies.
• You possess a working knowledge of agile development methodologies including DevOps concepts.
• You're well-versed in version control platforms like Git
• Solid understanding and capability in Python for data tasks and integration
• MS D365
• Relocation Industry experience
• Fabric/Power BI and Power Query
• AI/ML experience

As a testament to our commitment to diversity, equity, inclusion, and belonging, and in alignment with our commitment to fair and transparent compensation, our salary bands are transparent both internally and as a part of our external recruitment process. The targets for this role are dependent on market/ geographic location and range from $140,000 to $175,000 CAD.

Graebel Companies, Inc. is an EEO/AA Employer M/F/Disabled/Vet.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Transportation, Logistics, Supply Chain and Storage

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