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Date Posted: 08/27/2026 Req ID: 50015 Faculty/Division: Faculty of Arts & Science Department: Acceleration Consortium Campus: St. George (Downtown Toronto) Position Number: 00057089 Description: About us: The…
About the role: We are looking for a Data Engineer to join our Digital Manufacturing Platform (DMP) team at MANN+HUMMEL. You will help build a global, cloud-based platform that collects and processes real-time data…
When it comes to putting people first, we're number 1. The number 1 Top Employer in South Africa. Certified by the Top Employer Institute 2026. Role Purpose/Business Unit: The Platform Engineering Lead owns the…
Mô tả công việc To be able to develop/design for Data Lake, System/Data Integration, App engine solutions (containing complex big data computations), ensure the product delivered on time, within budget. Work with Data…
Mô tả công việc: · Thiết kế và duy trì kiến trúc Kho dữ liệu (Data Warehouse) sử dụng Amazon Redshift. · Phát triển các quy trình ETL để thu thập và chuyển đổi dữ liệu từ nhiều hệ thống. · Quản lý lưu trữ dữ liệu và…
Required Skills & Qualifications Experience: 5+ years of professional experience in data engineering, with a strong focus on data warehousing or data lake development. 2+ years of hands-on experience with AWS data…
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business…
Modernize a legacy MS SQL Server data platform to AWS-native services, designing and building scalable cloud data solutions using Aurora PostgreSQL, Redshift, AWS Glue, and data pipelines while migrating reports from SSRS/SSAS.
Design, develop, and optimize scalable ETL/ELT data pipelines using Python, PySpark, and SQL for a Singapore-based consulting firm serving banking clients.
Builds and maintains scalable data pipelines, warehouses, and APIs to power analytics and applications using SQL, Python, and cloud platforms.
Data Engineer architecting and maintaining cloud-based data analytics infrastructure on AWS, Databricks, and IDMC, designing data lakes, ETL/ELT pipelines, and automation playbooks.
Data Engineer building ETL/ELT pipelines, data warehouses, data lakes, and backend APIs for a consulting firm serving banking and financial services clients.
Data Engineer designing and maintaining scalable batch and streaming data pipelines on AWS, working with Python, Spark, Airflow, and infrastructure-as-code tools like Terraform in a hybrid setup in Madrid.
Experienced AWS Cloud Engineer designing scalable AWS cloud architectures, building data pipelines with AWS Glue, and deploying serverless applications with Lambda, focusing on security and cost optimization.
Senior Data Engineer responsible for modernising a legacy MS SQL Server platform to AWS-native services (Aurora PostgreSQL, AWS Glue, Redshift), owning data ingestion, transformation, modelling and reporting with CI/CD for data pipelines.
Senior Data Engineer to modernize legacy SQL Server systems to AWS-native data stack (Aurora PostgreSQL, Glue, Redshift, QuickSight) using Python/PySpark and CI/CD.
Senior Data Engineer modernising a legacy MS SQL Server data platform (SSIS, SSRS, SSAS) to AWS-native services including Amazon Aurora PostgreSQL, AWS Glue, Amazon Redshift, and Snowflake, with a focus on ETL migration and cloud data solutions in Sydney.
Senior Data Engineer building and maintaining data platforms, pipelines, and management tools using Apache Airflow, AWS Glue, Spark, and various database technologies at a healthcare AI company.
Senior Data Engineer owning end-to-end BigQuery/dbt/Python data pipelines for B2B marketing clients at a digital agency, integrating CRM, ABM, and attribution data to support measurement and scoring programs.
Build and maintain the data and ML infrastructure for an AI-powered decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure government environment.
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