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Build and maintain data pipelines, dashboards, and AI-driven tools to inform logistics operations and ecommerce decisions using SQL, Python, and tools like DBT, Fivetran, and Hex.
Designs and maintains scalable Snowflake-based data infrastructure and secure ELT pipelines using Python and AWS, ensuring high performance and data privacy.
Design and build a scalable data warehouse/lake and ETL/ELT pipelines using Databricks and Azure Data Factory to feed analytics and AI workloads across GEA’s global operations.
Builds and maintains data pipelines and Snowflake transformations to feed AI-driven analytics and decision-making systems using Python, SQL, and cloud platforms.
Designs and builds data pipelines, warehouses, and lakes using Java, Python, Spark, and SQL to move and transform data for analytics and applications.
Builds and maintains big-data pipelines in AWS or GCP using SQL, Python/Scala, and Spark to feed analytics and ML models for a financial-services company.
Designs and builds ETL/ELT pipelines and data lakes, ensuring high-quality data flows using Java, Scala, Python, Spark, and Airflow.
Build and maintain scalable data pipelines and lakehouse architectures to power analytics and AI products using SQL, dbt, and cloud platforms like Databricks or AWS.
Senior Data Engineer builds and optimizes PySpark ETL/ELT pipelines, manages a medallion lakehouse, and deploys data-serving APIs on AWS for a real-estate tech platform.
Designs, builds, and optimizes scalable data pipelines and ETL/ELT processes on Google Cloud Platform to support analytics and decision-making.
Builds and maintains scalable ETL/ELT pipelines and data platforms using Python, SQL, PySpark, and Azure services like Databricks and Data Factory.
Principal Software Engineer to lead the architecture of an AI-ready data platform for a global fintech company, defining standards for trusted, governed data products that power analytics and secure customer integrations.
Build and deploy ML models and data pipelines for enterprise clients using Python, SQL, and cloud platforms like AWS/Azure, then translate insights for stakeholders.
Builds and maintains secure, scalable data pipelines using Python, Spark, and Kafka for NATO’s federated data-sharing environment, ensuring governance, quality, and interoperability.
Build and maintain scalable data pipelines and API-first services for ad-tech, using Python, Spark, Kafka, and cloud platforms to ingest, transform, and distribute audience data reliably.
Designs and builds scalable data pipelines and semantic models for an intergovernmental organization using Python, Spark, Kafka, and governance frameworks.
Design and build a scalable data platform for real-time IoT heat-pump telemetry, energy optimization, and BI using ETL/ELT and time-series pipelines.
Build and operate scalable data pipelines for ingestion, processing, and distribution in an ad-tech platform, using Python, Spark, Kafka, and cloud services.
Build and maintain a large-scale data pipeline in BigQuery, integrating Salesforce, Stripe, and Postgres to ensure reliable data quality and observability for analytics and CRM.
Build and maintain scalable data pipelines and AI-ready datasets using Databricks and DBT to enable analytics and responsible AI across Van Oord’s maritime and offshore projects.
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