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About the Role As part of our continued growth, we're looking for an experienced Automation Engineer to join our Information Technology team. Reporting to the General Manager - Information Technology, you'll…
Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Senior Data…
Overview IT Data ManagementTeam | Atlas At Atlas, we’re more than a moving company. We’re a family of companies delivering transportation and logistics solutions across the globe. Through a trusted network of quality…
Responsibilities Peraton is seeking a Data/Operations Research Analyst to serve as a program-embedded power user and customer-facing operator of a customer-deployed Generative AI Platform. This role is purpose-built…
Overview About the company Consilio stands as the global leader in eDiscovery, document review, flexible legal talent, and legal advisory & transformation consulting services. With its Consilio Complete suite of…
Data Engineer at an industrial digitalization consultancy building scalable data pipelines, data warehouses, and data lake solutions for customer projects, primarily using dbt, Snowflake, Databricks, SQL, and Azure/AWS.
The Senior Data Engineer will build and maintain a centralized data warehouse using Microsoft Fabric, PySpark, and SQL to support enterprise-wide analytics. The role involves designing scalable data ingestion pipelines, implementing medallion architecture, and applying AI-powered engineering practices.
Lead Data Engineer owning the architecture, scalability, and technical direction of Amtech's Cloud Data Platform—designing data warehouses, ETL/ELT pipelines, tenant data stores, and feature stores that power analytics and AI agent initiatives using cloud platforms (AWS/Azure/GCP), big data frameworks (Spark, Kafka), and warehousing tools (Snowflake/Redshift/BigQuery).
OVERVIEW OF THE ROLE We are building a talent pipeline for upcoming Data Governance Specialist opportunities for enterprise clients across various industries. This role will be responsible for establishing and…
Senior Microsoft Fabric Specialist / Data Engineer who designs, advises on, and hands-on builds modern data platforms using Microsoft Fabric (Lakehouses, Data Factory, notebooks, Power BI) for a Dutch IT consultancy.
Lead/Senior Data Engineer designing and managing enterprise-scale data platforms across Azure and AWS, building ETL/ELT pipelines, lakehouse architectures, and Snowflake data warehouses using Databricks, Delta Lake, PySpark, and SQL.
Design, build, and optimize scalable data pipelines and cloud data platforms on AWS using Python, PySpark, and services like Glue, EMR, S3, Redshift, and Athena.
Data Analyst maintaining a cloud data warehouse, ETL pipelines, and BI dashboards for a B2B food and agriculture trading platform, using SQL, Python, Snowflake, and Power BI.
Data Engineer building and maintaining data pipelines, data access layers, and Docker images for a financial services company using SQL, Azure, Snowflake, and Python.
Senior Data Engineer on a remote contract within Canada, building and maintaining scalable data pipelines, ETL/ELT workflows, data models, and Power BI dashboards for the Government of Alberta's Digital Design and Delivery division using Python, SQL, PySpark, and cloud platforms (Azure, Databricks, Microsoft Fabric).
Who We Are: HelioCampus was founded with the purpose of helping college & university leaders navigate today’s growing pressures. As one of EdTech’s most steadily growing companies, our roots in higher ed ground us…
Design, build and deploy scalable data solutions on a mature Databricks lakehouse platform for a Queensland utilities organisation, using SQL, Python, and PySpark.
The Senior Backend Engineer will lead the development and scaling of Canva's A/B testing platform, Pilot, focusing on high-performance data analysis and metrics architecture. The role involves collaborating with cross-functional teams to drive technical strategy, optimize query latency, and mentor engineering staff.
Director leading a Data & AI practice—combining executive leadership, solution architecture, pre-sales consulting, and delivery oversight across AI/ML, Generative AI, analytics, and cloud platforms (AWS, Azure, GCP).
Build and maintain ETL/ELT pipelines using Informatica and Snowflake, develop data models, and manage metadata and data lineage with Informatica Data Catalog to support enterprise data governance and analytics.
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