Overview
On Site
USD 80.00 - 90.00 per hour
Full Time
Skills
Fraud
IT Management
Data Science
SAP BASIS
Snow Flake Schema
Machine Learning (ML)
Agile
Scrum
Systems Analysis/design
Leadership
Software Engineering
Data Engineering
Extract
Transform
Load
Data Warehouse
Big Data
Cloud Computing
Data Management
Python
PySpark
Databricks
Workflow
DevOps
Amazon Web Services
Terraform
GitHub
Kubernetes
Bilingual
French
English
Communication
Stakeholder Management
Quality Control
Job Details
Job description - Data engineer/Devops
This is an overarching project that deals with claims data. Half of the work is storing data for all products and models, and the other half is getting the data. We are looking for a data engineer to move data around in the claims domain to avoid fraud, build claims, and determine if the claim is a total loss. The data is being moved mainly to and from the data warehouse, ingesting millions of records from Kijiji every day.
Our client is looking for someone with data engineering experience with strong software engineering experience, analysis, and technical leadership backgrounds for our teams.
Our data science lab is one of the largest in the country, and data engineering is one of its main pillars. We have big ambitions and want you to be part of them. Will you join us? Here's a sneak peek.
On a day-to-day basis, we primarily use cloud Databricks, Amazon Web Services, and Snowflake. Python is our favorite language! We are responsible for ingesting data from many different sources, but also for the sometimes complex transformation of this data, to provide our scientists with quality data that is ready for machine learning.
In this mission, you will be supported by quality analysts, business analysts, application architects, and data architects. We use Agile as our organizational methodology, with the support of our product owners and our scrum masters.
What you'll do here:
With your team, you will participate in the analysis design, development, and delivery of efficient, effective, and secure data pipelines.
Building on your experience, you will have the opportunity to participate in the implementation of industry best practices.
Through your leadership, you will be an agent of change who will grow our data engineering practice to make our lab an industry benchmark.
The ideal candidate has...
- 6+ years of experience in Software Engineering / Data Engineering / ETL development / Data Warehousing.
- Experience in Big Data and Cloud technologies for processing large volumes of data.
- Understanding of data management, security, and data classification.
- Strong proficiency in the Python programming language and the PySpark Framework.
- Databricks experience - set up job clusters, related to the jobs and the workflows, configurations.
- Previous experience as a DevOps working with AWS, Terraform, GitHub, + Kubernetes
Additional Skills & Qualifications
- Bilingual - French + English
- Strong communication + stakeholder management
Pay and Benefits
The pay range for this position is $80.00 - $90.00/hr.
Workplace Type
This is a hybrid position in Montreal,QC.
propos de TEKsystems et TEKsystems Global Services
Nous sommes un fournisseur de services aux entreprises et de technologies. Nous acclrons la transformation de nos clients. Notre comptence en stratgie, conception, excution et oprations libre la valeur de l'entreprise par un ventail de solutions. Nous sommes une quipe de 80 000 personnes qui collaborent avec plus de 60 000 clients, notamment 80 % du Fortune 500 en Amrique du Nord, Europe et Asie, qui collaborent avec nous dans le cadre de nos capacits full-stack et notre rythme. Nous sommes des penseurs stratgiques, des collaborateurs pratiques qui aident les clients exploiter le changement et matriser le dynamisme de la technologie. Nous btissons le futur en livrant les rsultats et en crant un impact positif dans nos communauts mondiales. TEKsystems et TEKsystems Global Services sont des entreprises d'Allegis Group. Dcouvrez d'autres informations TEKsystems.com.
Qubec Numro du permis d'agence de placement de personnel AP-2000547
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Quebec Personnel Placement Agency Permit Number AP-2000547
This is an overarching project that deals with claims data. Half of the work is storing data for all products and models, and the other half is getting the data. We are looking for a data engineer to move data around in the claims domain to avoid fraud, build claims, and determine if the claim is a total loss. The data is being moved mainly to and from the data warehouse, ingesting millions of records from Kijiji every day.
Our client is looking for someone with data engineering experience with strong software engineering experience, analysis, and technical leadership backgrounds for our teams.
Our data science lab is one of the largest in the country, and data engineering is one of its main pillars. We have big ambitions and want you to be part of them. Will you join us? Here's a sneak peek.
On a day-to-day basis, we primarily use cloud Databricks, Amazon Web Services, and Snowflake. Python is our favorite language! We are responsible for ingesting data from many different sources, but also for the sometimes complex transformation of this data, to provide our scientists with quality data that is ready for machine learning.
In this mission, you will be supported by quality analysts, business analysts, application architects, and data architects. We use Agile as our organizational methodology, with the support of our product owners and our scrum masters.
What you'll do here:
With your team, you will participate in the analysis design, development, and delivery of efficient, effective, and secure data pipelines.
Building on your experience, you will have the opportunity to participate in the implementation of industry best practices.
Through your leadership, you will be an agent of change who will grow our data engineering practice to make our lab an industry benchmark.
The ideal candidate has...
- 6+ years of experience in Software Engineering / Data Engineering / ETL development / Data Warehousing.
- Experience in Big Data and Cloud technologies for processing large volumes of data.
- Understanding of data management, security, and data classification.
- Strong proficiency in the Python programming language and the PySpark Framework.
- Databricks experience - set up job clusters, related to the jobs and the workflows, configurations.
- Previous experience as a DevOps working with AWS, Terraform, GitHub, + Kubernetes
Additional Skills & Qualifications
- Bilingual - French + English
- Strong communication + stakeholder management
Pay and Benefits
The pay range for this position is $80.00 - $90.00/hr.
Workplace Type
This is a hybrid position in Montreal,QC.
propos de TEKsystems et TEKsystems Global Services
Nous sommes un fournisseur de services aux entreprises et de technologies. Nous acclrons la transformation de nos clients. Notre comptence en stratgie, conception, excution et oprations libre la valeur de l'entreprise par un ventail de solutions. Nous sommes une quipe de 80 000 personnes qui collaborent avec plus de 60 000 clients, notamment 80 % du Fortune 500 en Amrique du Nord, Europe et Asie, qui collaborent avec nous dans le cadre de nos capacits full-stack et notre rythme. Nous sommes des penseurs stratgiques, des collaborateurs pratiques qui aident les clients exploiter le changement et matriser le dynamisme de la technologie. Nous btissons le futur en livrant les rsultats et en crant un impact positif dans nos communauts mondiales. TEKsystems et TEKsystems Global Services sont des entreprises d'Allegis Group. Dcouvrez d'autres informations TEKsystems.com.
Qubec Numro du permis d'agence de placement de personnel AP-2000547
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Quebec Personnel Placement Agency Permit Number AP-2000547
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.