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Build and scale real-time data pipelines for maps, roads, and navigation using Java/C++/Python/Scala and AWS, ensuring performance and security in a collaborative environment.
Design and build data pipelines, warehouses, and analytics platforms using Databricks, Snowflake, and Azure for enterprise clients.
Design and build scalable Databricks Lakehouse pipelines using Spark, SQL, Python, and Scala to deliver robust ETL solutions and optimize data workloads.
Builds and scales AI data pipelines using Snowflake, Databricks and Fabric, deploying AI agents and skills via CI/CD in a cloud environment.
Builds and maintains data pipelines, cleans financial datasets, and supports quant research using Python, SQL, and cloud platforms.
Builds data pipelines and applications for clients using Python, Scala, or Clojure on AWS, Azure, or GCP in a collaborative, startup-like environment.
Senior Data Engineer builds and modernizes a cloud-based data platform using Microsoft Fabric, migrating legacy SQL Server/SSAS solutions and enabling AI-driven analytics and reporting.
Build and maintain data pipelines for product information systems, integrating and governing data for e-commerce platforms using cloud tools like Azure and AWS.
Build and deploy AI features in a regulated bank’s Snowflake environment, integrating LLMs and Cortex for data insights, engineering tooling, and Streamlit self-service apps.
Migrate legacy Epic Clarity (Oracle) healthcare data to Google BigQuery, designing ETL pipelines and resolving schema/data-type incompatibilities.
Lead the design and operation of scalable data pipelines and platforms that power analytics at a climate-tech company.
Senior Data Engineer builds and scales real-time data pipelines using Snowflake, AWS, and dbt to power MoMo rewards in a fast-growing fintech.
Builds and maintains cloud data pipelines using Python, Golang, and ETL/ELT processes on AWS and Snowflake, ensuring scalable, reliable data architectures.
Builds and maintains a data warehouse using Data Vault methodology and AWS tools to support business decisions with clean, scalable data pipelines.
Build and optimize scalable ELT/ETL pipelines and data workflows in Snowflake and Oracle, using Python, SQL, and CI/CD to support capital and credit data foundations for banking compliance.
Lead a data engineering team to design and maintain scalable ETL/ELT pipelines and data platform architecture for analytics at Veikkaus Oy.
Design and build modern data platforms for Finland’s largest organizations, enabling scalable analytics and AI agents while guiding customers through complex data challenges.
Build and maintain ETL/ELT pipelines and data platforms for Finland’s largest gaming company, using SQL, GCP, Kafka, and NiFi to turn gaming and e-commerce data into analytics-ready assets.
Lead a team of data engineers to build and maintain ETL/ELT pipelines and data platforms for Finland’s largest gaming operator, using SQL, GCP, Kafka, NiFi, and DBT.
Build and maintain CI/CD pipelines and data workflows for inertial positioning algorithms using MATLAB, C, and Python.
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