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We are seeking a Senior Developerto design, develop, and maintain robust, scalable technology solutions that support business objectives. The role involves working closely with regional and global teams to build…
Location: Montreal, QC( 3 days onsite + In-person interview mandatory) Duration: 12 months Roles and Responsibilities: Provide technical leadership and vision for software development projects, setting high standards…
Designs and maintains scalable AWS-based data pipelines and cloud architectures to transform raw data into reliable datasets for analytics and business intelligence, using AWS Glue, EMR, Redshift, and related tools.
Big Data Engineer working on building a financing datahub, designing data solutions and ensuring data quality. Core technologies include Spark, Scala, and SQL in a global banking environment.
Build and enhance a financing datahub for Corporate and Investment Banking using Spark, Scala, and SQL. You will design data solutions, develop data processing jobs, conduct code reviews, and deliver IT solutions in agile Scrum cycles.
Senior Full Stack Engineer building campaign management, dashboards, reporting, and marketplace APIs for a mobile adtech platform, using a polyglot stack with heavy backend engineering and low-latency optimization.
Responsibilities: To develop and maintain the QAD Redzone API Backend (Scala), ensuring a seamless and efficient user experience for manufacturing front-line teams. Develop and maintain the MCP server to support AI…
Senior Scala Backend Engineer developing and maintaining the Redzone API backend and MCP server for AI integrations, improving OpenSearch usage and delivering testable code for manufacturing teams using Scala and Java.
Lead a team of Data Engineers at Roblox to define data ontology, build batch/streaming pipelines, and develop scalable analytics frameworks using SQL, PySpark, Scala, and cloud platforms.
Design, build, and optimize Snowflake-based data pipelines and warehouses, model data with best practices, and collaborate with analysts and scientists to deliver reliable analytics infrastructure.
Build and industrialize data pipelines and infrastructure for public sector and energy clients using Apache Spark, Databricks, Snowflake, and Cloud tools.
Design and build robust data pipelines on Databricks using PySpark/Spark SQL, optimize data flows, ensure code/data quality, and contribute to agile processes. Core technologies include Databricks, PySpark, Python, SQL, and cloud platforms (AWS/Azure/GCP).
Lead Data Engineer responsible for designing scalable and robust data solutions for clients (e.g., Fortune 500) on projects like cloud migrations and data mesh, working with technical and business teams and mentoring junior engineers.
A Data Engineer at FONCTIONS SUPPORTS designs data architectures, develops ETL pipelines, ensures data quality, and collaborates with business teams to support the company's data platform transformation. Works with SQL, programming languages like Python/Java/Scala, and databases.
Senior Software Engineer at Gemini building and maintaining core financial infrastructure for crypto and fiat money movement, including ledgers, payments, and reconciliation systems using Scala/Go and cloud platforms.
Build and optimize Microsoft Fabric-based data pipelines and lakehouse/warehouse architectures for a global travel-rewards business, using PySpark, T-SQL, and AI tools to modernize legacy systems and enable real-time analytics.
The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data…
Data Engineer working on enterprise data solutions, building scalable data pipelines and maintaining governance standards using Azure ecosystem technologies including Data Factory, Synapse Analytics, and Databricks.
Develop high-traffic search and ad systems using Java, Spring Boot, and AWS. Integrate GenAI tools and LLMs to optimize the tech stack and improve search experiences.
Build and own data ingestion pipelines (streaming and batch) for a London-based fintech, using Java 21/Spring Boot, Kafka, MS SQL Server, and Azure Databricks/Spark to turn banking and transactional data into actionable insights.
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