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Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Design and build high-performance RESTful APIs and data pipelines for a U.S. consumer-insights provider, using Python, Snowflake, AWS, and data-clean-room tech.
Build and scale backend APIs and data models for an automated TV advertising platform, using Python, SQL, and modern data stacks to support analytics and integrations.
Build and scale data pipelines and products that power AI-driven job search and ML models using Kafka, Java, and AWS services.
Senior Software Engineer builds high-performance data pipelines and products in Java/Kafka to power AI-driven job search and ML models across Stepstone’s global hiring platforms.
Build and optimize Ørsted’s cloud data warehouse, migrating from Azure to AWS while ensuring reliable, scalable data pipelines and platform performance for enterprise analytics.
Maintain and migrate Ørsted’s enterprise data warehouse from Azure to AWS, ensuring scalable, high-performance data pipelines and platform reliability for analytics teams.
Build and scale high-performance data pipelines and products in Kafka to power AI-driven job search and ML models for a global HR-tech platform.
Data Integration Engineer Location: Poznań, PL, 61-569 Facility: POZNAN-6731 LyondellBasell a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy that…
Build and maintain scalable ELT/ETL pipelines, orchestrate workflows in Airflow, and model data in Snowflake/Databricks to power analytics and AI apps, using Python, SQL, and AI coding tools.
Build and maintain scalable AWS-based ETL/ELT pipelines using Glue, Spark, and SQL to feed data warehouses and analytics.
LyondellBasell is a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy that includes a Nobel Prize in Chemistry and our proprietary MoReTec recycling…
Design and build scalable cloud-native AI data platforms and pipelines using Python, Spark, and Kafka to power machine learning and GenAI initiatives for enterprise clients.
Build and maintain AWS-based data pipelines and ML workflows, turning datasets into insights and scalable analytics for clients across industries.
Senior Data Engineer builds scalable Lakehouse architectures and ETL/ELT pipelines using Databricks, Spark, and cloud services to turn logistics data into BI insights and support analytics across Azure, AWS, or GCP.
Design and automate AWS-based data infrastructure using Terraform and Python, building scalable pipelines for ingestion, transformation, and validation.
Design and build scalable Lakehouse architectures (Bronze/Silver/Gold) using Databricks and Delta Lake to transform logistics data into BI insights, optimizing ETL/ELT pipelines with PySpark and Azure/AWS/GCP services.
Build and maintain cloud-based data pipelines and Lakehouse architectures using Azure, AWS, Databricks, and PySpark to deliver clean, scalable data for analytics and AI teams.
Designs and maintains scalable AWS data pipelines using S3, Glue, Lambda, Redshift, and EMR to integrate and deliver data for analytics and reporting.
Build and own scalable AI/ML data pipelines and real-time streaming systems using Python, Spark, Airflow, Kafka, and cloud services like SageMaker and Snowflake.
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