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Designs and builds cloud-based ETL pipelines and data infrastructure on Azure/GCP, working on migrations and modernizations for global clients.
Maintains and develops Linux/Windows servers, databases, and real-time data pipelines using SQL, PostgreSQL, Kafka, and Flink to support HR analytics and IoT integrations.
Senior Data Engineer builds and maintains data pipelines and models for corporate credit limit management in a bank, using Snowflake, dbt, and Airflow.
Senior Data Engineer builds and maintains scalable data pipelines and lakehouse platforms using Databricks (Spark, Delta Lake), Python, and SQL to support anti-financial-crime analytics for PwC’s global clients.
Design and optimize scalable data pipelines using Databricks, Apache Airflow, and Spark to process streaming and batch data for enterprise clients across industries like aerospace, energy, and automotive.
Senior Data Engineer designs interfaces between operational and analytical systems, builds Kafka-based data pipelines, and ensures Oracle DWH quality for international enterprise clients.
Designs and builds cloud data pipelines on Azure Databricks, integrating PySpark, Delta Lake, and Azure Data Factory to power analytics and BI for enterprise clients.
Architect and build real-time data pipelines for programmatic advertising using Python, SQL, and data warehousing, integrating AI technologies to process millions of ad transactions daily.
Senior Data Engineer builds scalable Google Cloud data platforms using BigQuery, SQL, Python, and modern data architectures to enable data-driven decisions for global clients.
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 and lakehouse platforms using Databricks, Spark, Delta Lake and Azure to support anti-financial-crime analytics and reporting for PwC’s global clients.
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.
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.
Senior Data Engineer builds and maintains a Databricks-based data platform for regulatory reporting, transforming legacy warehouses and creating end-to-end analytics pipelines.
Design and build scalable data pipelines and AI-ready platforms using Python, SQL, Snowflake, and cloud tools to deliver analytics and GenAI solutions for clients.
Senior Data Engineer builds and maintains cloud-based data platforms using Snowflake and major cloud providers to enable data-driven decision-making for global clients.
Senior Data Engineer builds and maintains a secure cloud data platform using Azure, Databricks, and Synapse, designing pipelines and models to deliver analytics and reporting for a Geneva-based institution.
Senior Data Engineer designs and builds scalable data platforms using Snowflake, SQL, Python, and cloud services to enable data-driven decision-making for global clients.
Design and maintain Azure Data Factory pipelines for ETL/ELT, orchestrating data flows between Azure SQL/Synapse and other sources while optimizing performance and collaborating with stakeholders.
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