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Junior SQL Data Engineer builds and maintains data pipelines for a digital signage and adtech platform, cleaning and integrating audience, geographic, and demographic data into PostgreSQL.
Builds and maintains data pipelines and supports customer interaction systems as a full-stack developer in a contract role.
Build and maintain data pipelines in Azure and Databricks, clean and integrate data for analytics, and collaborate with engineers and product owners to embed models into operations.
Build and maintain modern data pipelines and cloud-based analytics solutions using Azure services, SQL, and Python for AI-driven projects.
Build modular data pipelines and integrate data from multiple systems for clients like Rabobank, working in a close-knit team to process data efficiently and support analysis.
Build and maintain data pipelines and warehouses using Python, SQL, Airflow, and BigQuery to power Citylitics' AI-driven infrastructure intelligence platform.
Build and optimize graph-based knowledge structures using Neo4j to power an AI-driven retrieval system in a collaborative startup team.
Build and optimize data pipelines, ML models, and APIs for clients, working across the full stack from big-data infra to front-end delivery.
Builds scalable data pipelines in Python and SQL on Google Cloud, transforming raw data into usable datasets and automating workflows.
Builds and maintains ETL pipelines, data warehouses, and analytics for mobile/IoT/app data using Python, SQL, and big-data tools to deliver insights for overseas operations.
Builds and maintains big-data pipelines using Hadoop, Spark, Hive, and SQL to transform raw data into analytics-ready datasets.
Build and optimize data pipelines and infrastructure to support large-scale generative AI model training and inference, using Python, SQL, and cloud platforms.
Builds AI-powered data pipelines and cloud automation for government cybersecurity projects using AWS and multi-cloud infrastructure.
Build and maintain scalable ETL/ELT pipelines using SQL and PySpark to feed AI and analytics systems in a cloud-based data platform.
Build and maintain ETL/ELT pipelines and PySpark jobs to feed AI and analytics platforms; write SQL, validate data, and troubleshoot issues in a cloud-based data stack.
Entry-level AI Data Engineer builds cloud-native data pipelines and automation for cybersecurity SOC operations using AWS, Python, and IaC tools like Terraform.
Builds and maintains data pipelines, writes Python/SQL to transform raw data, and creates Power BI/Looker dashboards for business insights.
Provides technical support and troubleshooting for Azure-based data platforms like Synapse and SQL, assisting clients with maintenance and issue resolution.
Build and maintain ETL pipelines and data systems using Python, Airflow, Spark, and PostgreSQL to process geospatial data for a next-gen mapping platform.
Build and maintain data pipelines to feed reporting and analytics for logistics and warehousing operations using Python, SQL, and cloud data tools.
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