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Designs and maintains data pipelines for a B2B commerce platform, using Python, PySpark, SQL, and cloud services like Azure to process and integrate large datasets.
The Data Pipeline & Analytics Engineer will design, build, and optimize scalable ETL/ELT pipelines and analytics-ready data models. The role involves using tools like Airflow, dbt, and Spark to ensure data quality and enable data-driven decision-making through dashboards.
The Senior Data Engineer will develop and maintain data pipelines for the SimpliFi Data Pool using Azure cloud services, ETL/ELT patterns, and data governance practices.
Softtek is seeking a Senior Big Data Engineer to work on-site in Coyoacán, Mexico, focusing on large-scale data analysis, ETL/ELT processes, and business intelligence solutions. The role involves managing data lakes, pipelines, and architecture, with a preference for candidates experienced in IBM InfoSphere DataStage.
The Cloud Data Engineer will develop and maintain data pipelines and ETL/ELT processes using Python, PySpark, and SQL within GCP environments. The role involves collaborating with Agile teams to ensure data quality and optimize performance for analytics solutions.
Data Engineer developing and maintaining GCP data pipelines (BigQuery, Dataproc, Cloud Composer) using Python, PySpark, and SQL to support analytics and business reporting in Agile teams.
Senior Data Engineer designing and building scalable cloud-based data pipelines and data warehouse solutions using Snowflake, dbt, AWS, and Python within the supply chain domain.
The Senior Data Engineer builds and maintains scalable data pipelines and reliable storage systems using Snowflake, Java, and Python. This role involves leading technical implementation, mentoring team members, and ensuring data governance and quality standards.
Build and scale large-scale data pipelines and platforms for an AI-powered e-commerce discovery engine, using Spark, Kafka, Flink, and GCP to power personalization, recommendations, and ML systems.
Data & AI Consultant at Accenture analyzing business data, building dashboards in Power BI/Tableau, and developing ETL workflows using SQL and Python across cloud-based data environments.
Company Introduction WorldStrides is the global leader in educational travel and experiential learning. The company was founded in 1967 to provide middle school travel programs to Washington, D.C. and has grown to…
Senior Data Engineer building and scaling data pipelines, models, and integrations for regulated fintech payments/e-money services, ensuring compliance, scalability, and operational visibility in a global financial systems team.
Build and maintain data pipelines, models, and integrations on SAP HANA, SAP Datasphere, AWS, and Snowflake to support regulated payments and e-money reporting for a travel platform.
Data Engineer in Argentina designing and maintaining scalable ETL/ELT data pipelines on the Microsoft Azure Data Platform (Synapse Analytics, Databricks, Data Factory) to enable enterprise analytics and reporting.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms using Microsoft Azure, Microsoft Fabric, SQL, and Python. This hands-on role involves collaborating with cross-functional teams to improve data quality, architecture, and analytics capabilities.
The Senior Data Engineer will design and build modern cloud-based data platforms and pipelines while leading technical solution design for client projects. The role involves working with Snowflake, Azure, Python, and AI technologies to transform data into business-supporting solutions.
Lead advanced analytics, predictive modeling, and AI-powered initiatives as VP of Data Science within Burson's Insights & Intelligence team, using Python, SQL, R, and cloud platforms to deliver data-driven client solutions in a communications/PR agency setting.
Design and develop scalable data processing solutions and REST APIs on Azure/Databricks for a sales planning and analytics platform serving a premium German automotive OEM.
- Build and maintain KPI dashboards and metrics - Build and manage data engineering pipelines - Conduct root cause analysis using data - Design data warehouse architectures - Develop data models for analytics - Develop…
The Senior Data Engineer will design data warehouse architectures, develop ETL/ELT pipelines using Databricks, and build KPI dashboards. The role also involves creating analytics plans and ensuring secure data access.
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