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Lead a team to design and build scalable data pipelines and platforms using Spark/Scala, Airflow, and cloud tools, while mentoring engineers and ensuring regulatory compliance.
Lead a team to design and build scalable Azure data pipelines and warehouses using Databricks, PySpark, and SQL to process large datasets for enterprise clients.
Designs and maintains secure, scalable data pipelines in Python and SQL on AWS to ensure high-quality, trustworthy data for analytics and decision-making.
Leads Azure-based data pipelines and ETL processes for BD’s reporting and analytics, ensuring governance and delivering insights to cross-functional teams.
Lead the design and delivery of an AWS-native data platform that powers underwriting intelligence and AI-driven insights using Python, .NET, and modern cloud tools.
Junior data engineer builds and maintains ERP and BI integrations, ensuring data quality and scalable ETL pipelines to support business analytics.
Lead a team building and optimizing Python-based data pipelines and platforms for regulatory reporting in an investment bank.
Build and maintain scalable Azure data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to process and transform large datasets for enterprise clients.
Build and maintain scalable Azure data pipelines and Databricks lakehouse solutions, transforming raw data into analytics-ready assets while collaborating with cross-functional teams.
Senior Data Engineer builds scalable Snowflake-based data platforms, designs ETL pipelines, and models large datasets for analytics in a hybrid Poland role.
Designs and maintains scalable AWS data pipelines using S3, Glue, Lambda, Redshift, and EMR to integrate and deliver data for analytics and reporting.
Designs and maintains scalable ETL pipelines and data models on GCP, using Generative AI to improve development workflows while ensuring data quality and accessibility.
Senior Data Engineer builds and scales ad-tech data pipelines that ingest SSP/DSP/GAM feeds and CRM data to power real-time BI dashboards for campaign optimization.
Designs and builds graph-based data solutions and semantic models, integrating knowledge graphs with enterprise AI platforms and GenAI use cases.
Design and maintain data architectures, ETL pipelines, data warehouses, and data lakes using Databricks, Snowflake, Python, and SQL for Erste Bank Polska’s analytics solutions.
Build and optimize a modern data platform on Databricks and Azure, designing scalable ETL/ELT pipelines and integrating data from Delta Tables and Event Hub using Python and PySpark.
Builds and optimizes big-data pipelines using Spark, Azure, and Databricks to deliver analytics and dashboards in Power BI for a global product team.
Senior Data Engineer builds and maintains a Databricks-based data platform for regulatory reporting, transforming legacy warehouses and creating end-to-end analytics pipelines.
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 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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