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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.
Builds and maintains Spark/Scala pipelines for a new financing datahub, designs data processes, and ensures quality while collaborating with teams in Paris.
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.
Build and maintain scalable data pipelines using PySpark/Scala, Hadoop, Airflow, and SQL in a DevOps environment, with hybrid work in Kraków.
Lead Data Engineer builds and maintains scalable data pipelines on Azure and Databricks, designs SQL-based architectures, and mentors junior engineers in Gdynia.
Designs and optimizes ETL pipelines and data warehouse loads for financial BI projects using SQL and Informatica PowerCenter.
Build and optimize Azure Databricks-based data pipelines and Lakehouse architectures using PySpark and Azure Data Factory to power scalable cloud analytics and BI reporting.
Builds and maintains semantic data models and business glossaries using RDF/SPARQL, automates features for internal users, and supports Kubernetes-based tooling.
Designs and maintains Snowflake data pipelines, migrates on-prem warehouses to Snowflake, and builds AI/ML solutions in a hybrid cloud environment.
Design and build Snowflake data pipelines using SQL, Snowpark, and Airflow to support banking analytics and regulatory reporting in a hybrid role.
Build cloud-connected services for Toyota vehicles using Java, Spring Boot, and AWS; engineer scalable microservices that power global driving experiences.
Builds an automated canary-analysis system for edge devices: ingests time-series telemetry, writes PromQL/MetricsQL queries, detects anomalies, and integrates with CI/CD pipelines.
Builds AI-driven data pipelines and Snowflake Cortex integrations to power LLM features for a bank’s data platform.
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