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The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence. The role requires proficiency in SQL, Python/Java/Scala, and data processing frameworks like Spark or Airflow.
This senior data engineer role involves designing, building, and maintaining scalable end-to-end data pipelines and architectures using Snowflake, dbt, and AWS. The position requires a candidate to own the full data lifecycle and support analytics within a Canadian financial services environment.
Senior Data Engineer (hybrid, 3 days in downtown Toronto) building and optimizing scalable ETL/ELT pipelines using AWS, Snowflake, Python, SQL, and Airflow for a wealth technology group in the financial sector.
The Data Engineer II will build and scale data pipelines using Spark, Scala, and AWS to process massive datasets into actionable telecom insights. The role involves collaborating with cross-functional teams to develop production-ready data products and optimizing system performance.
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.
The Senior Data Engineer will design and maintain scalable batch and streaming data pipelines using AWS cloud-native technologies. The role involves collaborating with cross-functional teams to build robust data architectures and improve platform performance.
Senior DevOps Engineer specialized in AWS, responsible for designing scalable cloud environments, migrating workloads across AWS accounts, and building CI/CD pipelines and infrastructure automation using Terraform, CloudFormation, and container services like ECS/EKS.
Design, build, and optimize data pipelines ingesting from 40+ payment networks and internal systems using Python, SQL, and Airflow for a financial data ecosystem.
The Senior Data Engineer will build and maintain robust ETL/ELT pipelines to process data from payment networks and internal systems using Python, SQL, and orchestration tools like Airflow. The role involves collaborating with stakeholders to ensure data accuracy, security, and performance optimization.
The Data Platform Engineer will design and evolve data platforms on Google Cloud, managing pipelines with BigQuery, dbt, and Airflow. The role involves implementing infrastructure as code, supporting MLOps, and integrating AI/LLM solutions for data quality and process optimization.
Data Platform Engineer designing and evolving a GCP-based data platform using BigQuery, dbt, Terraform, and Airflow for a logistics/transport technology company, with AI/LLM-driven automations.
The Data Engineer will design and implement scalable batch and streaming data pipelines on Google Cloud Platform. The role involves developing data-driven solutions using services like BigQuery, Dataflow, and Airflow to support enterprise-level data ingestion and processing.
The Data Engineer will design and optimize scalable data pipelines using Snowflake and Azure, focusing on automation, security, and governance. The role involves building dbt models, managing Airflow DAGs, and implementing CI/CD workflows within an Agile team.
Senior Data Engineer designing and maintaining scalable data pipelines on Azure (Databricks, Data Factory) using Python/Spark, collaborating with Data Science and Analytics teams.
The Data Engineer will design and optimize data pipelines using Snowflake and Azure, manage Airflow DAGs, and automate processes with Python. The role involves working in an Agile environment to ensure data quality, governance, and scalability.
The Senior Data Engineer will design, build, and optimize complex data architectures and pipelines for Arcoprime. The role focuses on ensuring data security and availability using technologies like Python, Spark, Airflow, and AWS services.
The Data Engineer will design and build scalable data pipelines and cloud-based data solutions on AWS to support advanced analytics and business use cases. The role involves modeling data, integrating various sources, and collaborating with cross-functional teams to ensure data quality and performance.
The Senior Data Engineer will design, build, and optimize complex distributed data architectures and pipelines using AWS, Python, and SQL. The role involves automating infrastructure via IaC, ensuring data quality and security, and providing technical mentorship.
The Staff Data Engineer will design, build, and optimize robust data infrastructure and pipelines to support MACH's data operations. The role involves implementing data governance, enabling AI initiatives, and ensuring platform observability using AWS and modern data engineering practices.
The Data Quality Assurance Engineer will validate high-volume datasets, test ETL processes, and ensure data integrity within Google Cloud Platform environments. This is a 3-month contract role requiring strong SQL skills and experience with data orchestration tools.
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