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Data Engineer - ETL/ELT, Python & SQL, ADF on-site
Build and maintain Python ETL/ELT pipelines and optimize SQL for large-scale data across systems, transforming raw data into analytics-ready formats.
Data Engineer
Designs and maintains data pipelines, warehouses, and lakes, ensuring data quality and performance while collaborating with analysts and engineers.
Data Engineer
Design and maintain Python-based ETL pipelines to ingest public economic/financial API data into Azure Blob and SQL databases for analytics and reporting.
Middle Software Engineer (Java/C++) — Query Engine / Data Platform
Middle Software Engineer builds and optimizes a distributed SQL query engine for a large-scale data lakehouse platform, using Java/C++ and cloud-native tools to process analytical workloads across heterogeneous data sources.
Junior Data Platform Engineer: Build Reusable Tools & Automation
Build reusable ETL/ELT components and automation for a cloud-based data platform using Terraform and Scrum workflows.
Junior Data Platform Engineer (M/F)
Build reusable data-platform tools and automation on Microsoft Azure (Databricks, ADLS, AI Foundry) using Python, Terraform, and GitHub workflows to support the wider data engineering team.
Senior Data Engineer — Azure & Databricks Expert
Build and maintain ETL/ELT pipelines and modern data platforms using Azure services, Databricks, and PySpark.
Data Engineer - AWS Ecosystem (office OR remote)
Build and optimize AWS-based data pipelines and cloud architectures using Glue, EMR, Redshift, and S3 to transform raw data into reliable datasets for analytics.
Data Engineer | Databricks, SQL/Python
Designs and maintains BI/data-warehouse solutions on Databricks, writes SQL/Python pipelines, and optimizes ETL/ELT for business analytics in a product-focused team.
Senior Data Engineer (Azure)
Build and maintain scalable data pipelines on Azure and Databricks, using PySpark, SQL, and ETL/ELT processes to support analytics and reporting.
Data Engineer (Databricks)
Builds and maintains data pipelines and warehouses using Databricks, SQL, and Python/Scala to enable analytics and reporting.
[Job -31071] Data Architect, Brazil
Designs and maintains scalable, secure data architectures (data lakes, warehouses, lakehouses) and pipelines for AI-driven enterprise solutions, ensuring alignment with business needs and cloud platforms like AWS/Azure/GCP.
Data Engineer / BI Developer H/M/X – Remoto
Build and maintain data pipelines, transform raw data into analytics-ready models, and create Power BI dashboards for business reporting using Snowflake and dbt.
Data Engineer: AI, ETL & Snowflake | Remote 1 Day/Week
Design, build, and maintain ETL/ELT pipelines using SQL and Python, integrating ERP, APIs, and cloud platforms like Snowflake to support AI and automation initiatives.
Senior / Staff data Engineer (Agentic AI)
Design and optimize scalable data pipelines and agentic AI workflows to process sensor/image data and support advanced analytics for semiconductor and green-energy initiatives.
Middle Data Engineer (Azure Databricks)
Build and maintain cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to feed analytics and BI tools, integrating with SQL Server and Azure Data Factory.
Senior Data Engineer
Design and maintain scalable cloud data pipelines on Databricks to ingest airport and airline data, enabling AI/ML models that improve air transport operations.
Senior, Data Engineer
Design and maintain scalable data pipelines and enterprise data warehouses using AWS Glue, PySpark, and Informatica to ingest, transform, and deliver clean data for analytics across Schneider Electric’s global operations.
Data Engineer
Designs and maintains cloud data pipelines and analytics platforms for food and beverage processing plants, integrating industrial IoT data with Azure, Databricks, and InfluxDB to enable predictive maintenance and AI-driven analytics.
Data Engineer
Build and maintain scalable data pipelines, ETL/ELT processes, and AI-driven integrations using Python, SQL, Airflow, and Snowflake to support business analytics and automation.