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Builds and maintains scalable data pipelines, warehouses, and APIs to extract, transform, and integrate data across systems, ensuring accuracy and compliance while collaborating with cross-functional teams in an Agile environment.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools like AWS and Python, while collaborating with cross-functional teams to deliver data-driven products.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools (AWS, Azure, GCP) and SQL/Python to integrate and clean data for analytics.
Key Responsibilities Design, develop, and optimize scalable ETL/ELT pipelines to ingest, transform, and integrate data from multiple source systems. Build and maintain cloud-based data platforms, data lakes, and data…
Build and optimize data pipelines for a UK automotive marketing platform, migrating legacy systems to modern cloud warehouses (Redshift/Snowflake) using dbt, Python, and Airflow.
Build and maintain cloud cost visibility pipelines and datasets using SQL, Python, AWS/GCP, and Snowflake to power cost-aware decisions for Product, Engineering, and Finance teams.
Leads data-architecture projects for banks and insurers, building cloud-native data platforms, pipelines, and governance while managing teams and advising clients on data modernization and MLOps.
Builds a high-throughput, distributed advertising marketplace platform in Java/Kotlin/Spring Boot, designing scalable ledgers, API contracts, and cross-team integrations with AWS-native infrastructure while leveraging AI coding agents in production workflows.
Build and maintain data ingestion pipelines that move and transform SaaS and in-house data into a warehouse, enabling reporting, ML, and GenAI insights.
Lead a data engineering team to design and maintain ETL/ELT pipelines, data warehousing, and analytics infrastructure using tools like Fivetran, dbt, AWS Redshift, and Python.
Builds and maintains data pipelines and serverless functions using Python, PySpark, AWS Lambda, Glue, and DynamoDB.
Design and implement AWS cloud solutions, migrate on-prem workloads to AWS, and lead cloud strategy for clients using services like S3, Redshift, Glue, and CloudFormation.
Senior Learning Data Scientist building AI-driven analytics, predictive models, and dashboards to optimize training and certification programs using Python, TensorFlow, and Power BI.
Design and build scalable, secure AWS data platforms and lakehouse architectures using Lambda, Glue, S3, and Lake Formation.
Design and build scalable AWS-based data pipelines using Python, Spark, and cloud-native services to power analytics and reporting.
Builds and optimizes data pipelines using Java/Scala, AWS services, and Spark to process and transform large datasets for analytics.
Build and modernise cloud-native data platforms and pipelines for clients, using Python, SQL, and tools like Azure/AWS/GCP and Databricks.
Build and optimize cloud-native data platforms and pipelines for clients using Python, SQL, and tools like Azure Data Factory, Databricks, and Snowflake.
Buscamos un profesional estratégico y con una sólida base técnica. Como Coordinador del área, serás responsable de diseñar la estrategia corporativa de IA y Analytics , estructurar el programa de Gobernanza de Datos…
Builds and maintains scalable data pipelines (ETL/ELT) using cloud tools like Azure Data Factory, AWS Glue, and Snowflake, collaborating with clients to integrate data sources, optimize models, and enable analytics-driven decision-making.
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