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Build and operate a medallion-architecture data pipeline on Databricks and Azure Data Lake Storage for an automotive client, partnering with an Analytics Engineer to deliver a reliable Gold layer for BI and Data Science.
This role is for a Senior Data Engineer to design, build, and optimize scalable data pipelines and lakehouse architectures on Databricks and Azure. The engineer will integrate data from various enterprise systems to support analytics and AI initiatives in a 3-month contract position.
Builds analytical solutions and data pipelines to transform business needs into actionable insights, focusing on data quality, KPIs, and ML models using Databricks, PySpark, and SQL.
Lead data engineering standards, best practices, and community enablement across a 270+ engineer guild at an insurance company, focusing on lakehouse/data platform technologies like Databricks and internal learning programs.
A freelance Data Engineering consultant leads end-to-end project phases (requirements, analysis, migration, Go-Live) for international cloud-based data solutions, focusing on AWS, PySpark, Python, SQL, and Airflow pipelines while ensuring data quality and reliability.
Data Engineer managing the full data lifecycle from integration to exploitation and evolving strategic corporate dashboards using Snowflake and Power BI on AWS.
Designs and maintains scalable data pipelines on Azure, automating ingestion, cleansing, and transformation while ensuring data quality and security for an international project.
Senior Data Engineer designing and building large-scale Spark-based data pipelines on AWS for analytics, ML, and reporting at Santander's Open Digital Services in Madrid.
Designs and automates end-to-end data pipelines integrating heterogeneous sources (internal/external) to build key dashboards for sales analysis in a food/beverage client’s digital transformation project.
Senior Data Engineer building cloud data platforms on AWS, working with Spark, Python, SQL, and various AWS services for data ingestion and pipeline orchestration.
Data Engineer designing and building data pipelines with PySpark, Python, SQL, and AWS, orchestrated via Airflow and containerized with Docker/ECS, based on-site in Madrid for a 12-month contract.
Build and maintain Big Data pipelines using PySpark, Spark Streaming, Kafka, and AWS, including ETL/ELT processes and real-time data processing on a 100% remote basis.
Builds and maintains scalable data pipelines using Modern Data Stack tools like Snowflake and dbt, optimizing data platforms for AI-driven projects and digital transformation.
Build and scale high-performance PySpark data pipelines on Databricks to power Lookiero’s personalized fashion-shopping platform, using Python, Delta Lake, and MLFlow.
Senior Data Engineer owning the design and operation of a Databricks/Delta Lake data platform (Medallion architecture) orchestrated via Azure Data Factory, feeding dynamic pricing models and BI in a high-volume retail context.
Data Engineer building and maintaining Modern Data Stack pipelines using Snowflake and dbt for a tech services company specializing in data and AI projects.
Builds and maintains scalable data models, integrates complex datasets, and resolves discrepancies across enterprise systems using Microsoft tools like Power BI, SQL, and Azure Data Factory.
Senior Data Scientist designing and implementing advanced analytics, predictive models, and Databricks dashboards to identify revenue leakage and recovery opportunities for the Defense Health Agency's RevOS initiative.
Builds and automates data pipelines/tools for a major European e-commerce platform, collaborating with product/analytical teams to resolve issues and enhance data-driven services using Python, JVM languages, PySpark, and Google Cloud.
Senior Data Engineer designing and maintaining Databricks-based data pipelines using Python, SQL, and cloud platforms (Azure/AWS/GCP) for an AI/data consultancy's enterprise clients.
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