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Builds and optimizes large-scale data pipelines using Scala and Spark, processing big data sets for distributed systems.
Build and maintain data pipelines and infrastructure for AI solutions, working with Spark, Python, and LLMs to support machine learning models and predictive analytics.
Builds and maintains distributed data pipelines using Spark and Scala on AWS, collaborating in a CI/CD environment with Python, SQL, and cross-functional teams.
Build and maintain a cloud-based big-data platform (Spark/Scala/Java) on Azure Databricks for valuation and risk analytics in a global finance team.
Senior Data Engineer builds scalable data pipelines and ML analytics for chemical manufacturing, focusing on predictive maintenance, optimization, and real-time streaming using Python, SQL, and Kubernetes.
Build and maintain the ACQA big-data platform on Azure Databricks using Spark, Scala, Java, and Kubernetes to support valuation and risk systems for finance teams.
Build and maintain scalable data pipelines using PySpark/Scala, Hadoop, Airflow, and SQL in a DevOps environment, with hybrid work in Kraków.
Designs and builds cloud-native data pipelines and analytics solutions on AWS, using Python/Scala/Java and DevOps practices to process large datasets.
Builds and maintains scalable big-data pipelines on Azure Databricks and Apache Spark using Scala/Java, deploys them via CI/CD and Kubernetes, and ensures platform reliability.
Build and optimize large-scale data processing systems in Java/Scala/Python to power high-performance advertising platforms.
Designs and builds large-scale data processing systems handling billions of requests daily using Java, Scala, or Python.
Build and maintain a big-data platform on Azure Databricks using Spark, Scala, and Java to support valuation and risk services for a financial-insurance platform.
Build and operate Snowflake-based data platforms that power GenAI and advanced AI use cases at enterprise scale, integrating vector search, RAG, and agent workflows.
Build and maintain big-data pipelines for European air-traffic systems using Databricks, Spark, Kafka, and Oracle; ensure data quality and industrialize production environments.
Senior Data Engineer builds and maintains a cloud-based data platform using Azure, Databricks, and Synapse Analytics to ingest, transform, and deliver data for reporting and APIs.
Senior data engineer builds and maintains Snowflake pipelines, migrates on-prem data to the cloud, and optimizes models for performance and cost.
Designs and builds cloud-based ETL pipelines and data infrastructure on Azure/GCP, working on migrations and modernizations for global clients.
Designs and maintains Snowflake transformation layers for risk model datasets using SQL, Snowpark, and Airflow, ensuring governance and scalable data pipelines.
Designs and builds scalable big-data pipelines and microservices on Akamai’s cloud platform, using Java/Scala/Python, Spark/Flink, Kafka, and storage systems like Postgres and Delta Lake.
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.
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