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Principal Data Engineer designs and maintains self-hosted data infrastructure (PostgreSQL, MongoDB) and ETL pipelines for a game studio, ensuring scalability, security, and compliance.
Build and scale backend services and data pipelines for mining optimization, using PostgreSQL, geospatial queries, and GCP while collaborating with cross-functional teams.
Totara is a global learning platform trusted by more than 1,500 organisations and 21 million users worldwide. We help organisations build workforce readiness through flexible learning, compliance, and talent…
Mô tả công việc: Key Responsibilities Data Engineering Pipelines Build and maintain data pipelines for Amazon SP-API, Advertising API, and other e-commerce platforms. Collect and process product reviews, sales,…
Build and maintain ETL/ELT pipelines, integrate sales and ad-platform data, and ensure clean, traceable data for reporting and accounting systems using SQL, Python, and APIs.
Build and maintain ETL pipelines, data warehouses, and databases to support securities trading systems using SQL, Python/Java, MongoDB, and Oracle.
Build and scale a cloud-based data platform for FGF’s EV rental and marketplace, designing pipelines, ETL/ELT, and DevOps for analytics and AI use cases.
Build and maintain data pipelines, ETL workflows, and warehouses to feed analytics and BI dashboards for an edtech platform.
Leads data-migration and KYC projects, designing ETL workflows, cleaning data, and delivering end-to-end transformations for a fintech company in Luxembourg.
Administers and secures cloud-native databases powering a next-gen market infrastructure for fund distribution, integrating with blockchain/DLT and ensuring data integrity, performance, and compliance.
Build and maintain scalable data pipelines and warehouses for an insurance marketplace, enabling analytics, BI, and AI use cases with Python, SQL, and Kafka.
Designs and builds scalable cloud data pipelines and warehouse architectures using Snowflake, dbt, and Data Vault to power analytics and decision-making.
Designs and maintains cloud data pipelines and warehouses using Snowflake, dbt, and Azure to power analytics and decision-making for a tech consultancy.
Build and maintain high-performance Spark/Scala pipelines to migrate petabytes of data from legacy systems to modern cloud storage, ensuring data quality and ACID compliance.
Senior Data Engineer builds and migrates cloud data platforms for a Belgian public-sector project, using Azure, Databricks, SQL, and Kubernetes to modernize legacy systems and enable analytics.
Designs and optimizes Azure-based data pipelines using Databricks, Delta Lake, and Lakehouse to power analytics and AI workloads.
Senior Data Engineer builds and optimizes Azure Databricks pipelines for banking analytics and AI using PySpark, Delta Lake, and cloud-native tools.
Build and maintain cloud-based data pipelines using Microsoft Fabric, Azure, Python, and SQL to support analytics and reporting for a modern data platform.
Build and maintain scalable data pipelines and applications on Azure Databricks using Python, PySpark, and SQL, while collaborating with cross-functional teams to deliver robust, cost-efficient data solutions.
Build and maintain cloud-based data pipelines and reporting environments for city services, modeling data to extract predictive insights using tools like Microsoft Fabric, Spark, and Python.
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