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Senior Data Engineer designing, developing, and maintaining Azure data pipelines (Data Factory, Synapse, Python, PySpark) for a private bank, with mentoring and DataOps/DevOps leadership responsibilities.
Staff Backend Engineer building DeFi vault infrastructure at Aave Labs — systems between onchain protocols and applications, including vault management, allocation solvers, blockchain indexing, and APIs using Rust and PostgreSQL.
Designs, develops, and maintains Power BI dashboards, SQL-based data models, and ETL/ELT pipelines on Azure to support ALCOVA Mortgage's analytics and reporting needs in a fully remote setting.
Lead Data Engineer on a 3-month hybrid contract building and optimizing AI data marketplace data ingestion pipelines using Azure technologies and coordinating enterprise-scale data solutions across teams.
Senior Data Engineer designing, building, and maintaining enterprise data and AI platforms primarily using Microsoft Fabric, Azure, and Azure AI services — including data pipelines, Lakehouse solutions, and Generative AI/RAG applications.
Manager-level Data Engineer developing and maintaining data ingestion pipelines for an AI Data Marketplace platform using Azure Data Factory and Databricks in a hybrid role in Warsaw.
Freelance Senior Backend Developer owning IoT backend architecture—data pipelines, API design, and AWS infrastructure (EKS, Aurora, DynamoDB, Timestream, S3)—for a connected-device design studio, using Node.js, Kubernetes, Docker, and Terraform.
Senior Solution Engineer driving Snowflake platform expansion among Telco and FSI enterprise customers in Malaysia through pre-sales technical leadership, architecture design, demos, and POCs.
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…
About the role USA TODAY is seeking a Sr Director - Enterprise Data Architect to lead the strategy and hands-on delivery of a next-generation Advertiser Intelligence Platform. This leader will build the trusted data…
Role Overview As a Data Engineer, you will collaborate with internal and external stakeholders as the data expert of the implementation process. Your role includes identifying data requirements, creating optimal data…
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.
Build and evolve a cloud-based data platform for a financial client's Transaction Banking team in Amsterdam, designing scalable data pipelines and ETL/ELT processes using Azure Databricks, PySpark, Python, and SQL.
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 and develop scalable ETL data pipelines using Azure Databricks, Data Factory, and Data Lake, writing SQL/Python/PySpark code for data processing and transformation.
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.
Senior Data Engineer building ELT/ETL pipelines, data models in Snowflake, and Power BI dashboards for BlackLine's AI-powered Invoice-to-Cash SaaS platform.
Build and deploy ML models to predict printability of complex CAD parts using geometric, image, thermal, and simulation data, while designing data collection processes at a metal 3D printing company.
Design, build and deploy scalable data solutions on a mature Databricks lakehouse platform for a Queensland utilities organisation, using SQL, Python, and PySpark.
Senior Data Architect at a supply-chain SaaS platform, responsible for designing enterprise data models, building scalable ETL/ELT pipelines, and translating complex customer ERP data into canonical supply-chain datasets using SQL, Python, and cloud lakehouse technologies.
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