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Build and maintain ETL pipelines, SQL Server databases, and Kafka-based streaming integrations to enable cross-application data sharing.
Designs and builds scalable data platforms using open-source tools and Kubernetes, sets data governance policies, and mentors junior engineers in a fully in-office Kraków role.
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 optimize scalable data pipelines and AI solutions using cloud platforms, ETL tools, and SQL for enterprise clients across Europe.
Build and maintain AI-driven data pipelines in Databricks and Azure to collect, validate, and analyze ESG metrics for P&G’s sustainability goals.
Designs and builds large-scale data pipelines and processing systems using Java and cloud technologies for an ad-tech company.
Build and maintain Spark-based data pipelines and ML models for pricing analytics at a global tech company.
Build and maintain data pipelines for regulatory reporting using Hadoop, Spark, SQL, and Kafka to ensure system stability and CI/CD processes.
Builds scalable web apps and BI dashboards, writes SQL, and integrates data on AWS for a global tech services provider.
Designs and optimizes data models, builds Power BI and Qlik Sense dashboards, and standardizes BI reporting for European markets in a manufacturing environment.
Build and automate data pipelines, ensure quality for AI systems, and integrate machine learning into Aviva’s services using Python or C#.
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.
Designs and maintains data pipelines, ensures data quality, and builds dashboards for a global banking platform using Python, Java, Databricks, and MS PowerBI.
Architect and own the analytics/data platform for an AI-powered SaaS product, modeling data in Snowflake and delivering insights via Power BI while mentoring engineers.
Designs and builds scalable data pipelines on Databricks and Azure, integrating diverse sources and using AI tools to accelerate development and testing.
Designs and maintains scalable ETL/ELT pipelines and data models on GCP using BigQuery, Airflow, and Spark for HSBC’s data infrastructure.
Design and build scalable data pipelines and analytics solutions on GCP using BigQuery, Airflow, Spark, and related cloud services.
Build and maintain cloud-based data pipelines for a bank’s digital tech center, ensuring data quality and scalability in an agile, international team.
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