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O Alfa é uma rede de escolas com mais de 40 anos de existência, de grandes resultados acadêmicos, que acolhe e prepara seu filho para a vida, complementada com projetos socioemocionais inovadores e consolidados. No…
The Data Engineer will design and maintain batch and real-time streaming data pipelines, build dimensional models, and ensure data quality through automated testing and monitoring. This role involves aligning data definitions with business requirements and managing the end-to-end data lifecycle.
Technical Lead for Data Engineering role building a Snowflake-on-AWS data pipeline for HR analytics at a university, involving architecture design, ETL/ELT development, mentoring engineers, and establishing data governance standards.
Lead the design and build of UNSW College’s enterprise data platform using Microsoft Fabric, Azure, and Power BI to deliver trusted analytics and insights for student and academic outcomes.
Data Engineer building ETL/ELT and ML pipelines in cloud environments for an Australian ecommerce company, supporting Marketing, Purchasing, Logistics and Finance teams with data-driven insights.
Builds and maintains enterprise-scale data pipelines on Microsoft Azure for Rabobank, ensuring data-driven decision-making across the bank’s agribusiness operations.
Builds and maintains scalable data pipelines for casino systems, transforming raw transactional data into optimized datasets for analytics and downstream applications using Python, Node.js, SQL, and ETL tools.
Design and maintain scalable data pipelines, ML model-serving infrastructure, and AI-enabling data systems (feature stores, vector DBs) for a healthcare-focused Public Benefit Corporation using Python, SQL, and cloud platforms.
rindus invites you to join a cutting-edge data engineering initiative with an AI-first approach, building scalable data pipelines for a major fashion retailer partner. You will work in a distributed team from Málaga or…
About the Role Our IT organization is in active transformation -- modernizing a legacy platform portfolio, scaling Palantir Foundry as our enterprise data operating system, and building the data engineering capability…
Designs and executes test strategies for AWS-based cloud data platforms, validates ETL/ELT pipelines, ensures data integrity, and builds automated testing frameworks using AWS Glue, EMR, Redshift, DynamoDB, SQL, PySpark, and Python.
Designs and runs tests for AWS-based ETL/ELT pipelines, ensuring data integrity in lakes and warehouses using SQL, PySpark, and CI/CD.
The Senior Data Engineer will support regional partners by implementing ETL/ELT flows using Big Data tools like Spark, Python, Azure Data Factory, Azure Synapse, and Azure Databricks, while maintaining and monitoring the Enterprise Data Lake platform.
Senior Data Engineer will build high-quality data solutions using ETL/ELT with Spark, Python, Azure Data Factory, Synapse and Databricks within the Enterprise Data Lake environment, monitoring performance and collaborating with Agile teams.
Lead the design, development, and optimization of automated data pipelines across multi-platform environments using tools like Spark, Airflow, dbt, Snowflake, and Kafka for a Philippine telecom company.
Builds AI-powered internal tools for sales and customer success teams using Python, JavaScript, and LLMs, integrating Salesforce, Snowflake, Gong, and Zendesk in a hybrid NYC office role.
Lead Data Engineer responsible for designing, building, and operating a modern, open, and sovereign data platform for a public water utility. Core focus on architecture, engineering pipelines, and governance of data systems, including migration from legacy systems (Oracle, Talend, SAP BO) to cloud-based solutions (PostgreSQL, dbt, Airflow).
We are looking for an Engineering Manager or experienced Team Lead with a strong Data Engineering background to lead and scale the teams building our high-reliability, secure, and linearly scalable Data direction. This…
This position does not have remote capabilities. Position Summary The Data Engineer supports the Bank's enterprise data environment by building and maintaining data pipelines, preparing data for reporting and…
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