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This role involves designing, automating, and securing cloud-based data platforms using Azure, Databricks, Terraform, and CI/CD tools. The position is a one-year contract requiring two days of on-site work per week in Oshawa.
Senior DevOps Engineer on a 1-year hybrid contract (2 days/week on-site in Oshawa) designing, automating, and securing cloud-based data platforms using Microsoft Azure and Databricks, including CI/CD pipelines, IaC, and Unity Catalog.
Python Developer (contract, 1 year) building scalable microservices, APIs, and data engineering solutions using FastAPI, Docker, Kubernetes, Azure Databricks, and Kafka for a large banking client's platform modernization in Toronto.
The Senior Data Engineering Architect will design scalable analytics platforms and lead migrations to Unity Catalog using Azure Databricks, Data Factory, and Fabric. The role requires extensive experience in data analytics and proficiency in Python and PySpark.
The Data Engineer will design and maintain scalable data pipelines and ETL/ELT processes using Databricks, Python, and Azure Data Factory. The role involves collaborating with cross-functional teams to ensure data quality and accessibility for business analytics.
The Backend Developer will design and maintain Python-based microservices and RESTful APIs within the Microsoft Azure ecosystem. The role requires deep expertise in Azure Databricks, including Unity Catalog and serverless functions, to build and manage cloud-based data solutions.
The Data Engineer designs and maintains data pipelines and integrations to support GEI's AI solutions and digital initiatives. The role involves building ingestion pipelines, managing data stores for RAG, and ensuring data quality and governance using Azure technologies.
The Data Engineer will design and maintain scalable batch and streaming data pipelines using lakehouse architectures and cloud environments. The role involves collaborating with cross-functional teams to ensure data quality, security, and governance within a hybrid work model in Barcelona.
This role involves building and maintaining full-stack cloud applications for Generative AI, primarily using Python or .NET on Microsoft Azure. The developer will own the full lifecycle of AI-powered solutions, including RAG and agent-based architectures, while occasionally contributing to React/Next.js frontends.
The Data Governance & Quality Engineer will implement and maintain data governance platforms, manage data quality rules, and ensure end-to-end data lineage using tools like Informatica CDGC, AXON, and Databricks Unity Catalog. The role involves collaborating with stakeholders to define data standards and policies to support business growth.
Scopely is looking for a Technical Artist to join our Yahtzee! With Buddies team in our Barcelona studio working on a hybrid model, 3 days a week from the hub. At Scopely, we care deeply about what we do and want to…
Senior reverse engineer analyzes binaries and source code to find bugs, vulnerabilities, or recover logic, using tools like Frida, IDA, and Ghidra for gaming and analytics products.
Senior reverse engineer analyzes binary/software code to find vulnerabilities or restore logic using tools like Frida, IDA, and Ghidra, focusing on security and game-related systems.
The Data Engineer will design, build, and maintain reliable data ingestion and transformation pipelines using AWS and Databricks. The role involves developing data processing layers, ensuring data quality, and collaborating with cross-functional teams to deliver production-ready data solutions.
The role involves designing and blocking out game levels in Unity, including placing objects and defining player routes, as well as developing game mechanics using C#.
Lead development of data infrastructure for AI and data observability, processing billions of entries daily. Use Java, Scala, or Python to build distributed systems and optimize large-scale cloud data pipelines.
Build and operate Databricks’ internal Data Intelligence Platform: metrics store, ETL frameworks, orchestration, and governance tools that power the company’s analytics and AI products at global scale.
Build and scale Databricks’ networking infrastructure, designing backend services that connect millions of VMs and cloud resources while enforcing enterprise security policies.
The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines within a Databricks Lakehouse environment to support BI and AI initiatives. This hybrid role requires expertise in Python, SQL, and Azure cloud services, emphasizing software engineering best practices like CI/CD and Infrastructure as Code.
The Data Engineer will modernize and scale cloud data platforms by building ETL/ELT pipelines using Databricks, Informatica (IDMC), and AWS. The role involves migrating legacy workflows to PySpark and SQL while managing data governance and infrastructure performance.
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