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Leads a remote team building and optimizing distributed data pipelines using Kafka, Spark, and Hadoop, while mentoring engineers for a long-term client engagement.
Build and maintain data pipelines for regulatory reporting using Hadoop, Spark, SQL, and Kafka to ensure system stability and CI/CD processes.
Build and maintain scalable data pipelines using PySpark/Scala, Hadoop, Airflow, and SQL in a DevOps environment, with hybrid work in Kraków.
Senior Data Engineer builds and optimizes cloud-based ETL pipelines and data models for sales analytics at a large bank, using GCP, Python, SQL, and Gen/Agentic AI tools.
Build and maintain data pipelines, AI models, and transformations using Python, GCP, Dataiku, and SQL to turn raw data into business insights for enterprise clients.
Designs and builds cloud-based ETL pipelines and data infrastructure on Azure/GCP, working on migrations and modernizations for global clients.
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a DevOps environment, collaborating with analysts and engineers to deliver high-performance solutions.
Build and maintain scalable data pipelines, automate ingestion from Kafka, MQ, SFTP, and databases, and optimize cloud-based processing in GCP using BigQuery, Dataflow, and Airflow.
Build and maintain scalable data pipelines on GCP to power analytics and AI features for Box’s content-management platform, using BigQuery, Spark, and Python.
Build and maintain big-data pipelines (Spark, Hadoop, Elasticsearch) to detect fraud and financial crime for a global bank, using Scala and Java/C#.
Build and maintain big-data pipelines using Spark, Hadoop, and Scala to detect fraud and financial crime for a global bank serving 36M customers.
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Build and maintain scalable data pipelines using Spark, Hadoop, Scala, and Elasticsearch to detect financial crime and ensure compliance.
Build and optimize scalable data pipelines, ETL processes, and cloud-based data architectures using Python/Java/Scala, Spark, Kafka, and cloud platforms (AWS/Azure) to support large-scale analytics and client projects.
Lead a remote team building scalable data pipelines with Kafka, Spark, and Hadoop, mentoring engineers and optimizing cloud data platforms like BigQuery.
Build and deploy ML models and data pipelines for a financial-services client’s new AI practice using Python, Spark, Hadoop, and SQL.
Lead a team building scalable data pipelines and platforms for enterprises using Spark, Airflow, and cloud tech to process terabytes of streaming and batch data for analytics and ML.
Design and build large-scale data pipelines and systems to process billions of ad requests daily, using Java/Scala/Python, Spark, and BigQuery on GCP/AWS.
Senior Data Engineer/ML Engineer builds and deploys ML models and pipelines in a banking context using Python, Spark, and AWS services like SageMaker and Glue.
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