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Build and optimize scalable data pipelines on Databricks using the Medallion architecture, SQL, and PySpark to deliver modern data solutions for enterprise clients.
Builds and maintains data pipelines, warehouses, and AI integrations for a SaaS travel-expense platform using Snowflake, Databricks, AWS, and Looker.
Lead the architecture of a data platform on AWS, using Terraform and Apache Iceberg, to power AI products and analytics while mentoring a data engineering team.
Designs and builds scalable data pipelines and cloud architectures on Google Cloud Platform, ensuring high-quality data for analytics and AI workloads.
Build and optimize scalable data pipelines on Databricks, implementing Medallion architecture and SQL transformations for enterprise clients.
Designs and maintains AI-augmented data extraction pipelines using Pydantic, Scrapy, and LLM agents to autonomously scrape and validate structured data from websites while ensuring compliance and reusability.
Design, build, and optimize Azure-based data pipelines and cloud architectures, using PySpark, Azure Data Factory, Synapse, and Lakehouse patterns to move and transform data securely and at scale.
Build and maintain scalable data pipelines and lakehouses using Microsoft Fabric and Power BI, automating ingestion, transformation, and CI/CD workflows for analytics solutions.
Build and maintain scalable data pipelines and platforms using Spark, Scala, Kafka, and cloud tech to enable analytics and decision-making across BNP Paribas.
Senior Data Engineer builds scalable data pipelines, ETL/ELT processes, and cloud-based analytics platforms using Python, Spark, AWS, and modern data stacks to power AI-driven solutions.
Senior Data Engineer builds and scales reliable, high-quality data pipelines and governance at a global market-research analytics firm using Python, SQL, Airflow, Spark, and AWS.
Design and maintain scalable data pipelines and infrastructure for a European payment provider, ensuring clean, accessible data for analytics and reporting using PostgreSQL, ElasticSearch, and ETL processes.
Build and maintain scalable Azure data pipelines and architectures using Data Factory, Databricks, and Synapse to ingest, transform, and integrate data for analytics and reporting.
Senior Data Engineer builds and maintains scalable data pipelines and models for a leading aeronautics client, ensuring data quality and security while collaborating with analytics and AI teams using Python, SQL, Snowflake, and Airflow/DBT.
Senior Data Engineer to own and scale a GCP-based data warehouse, build robust pipelines, and unify diverse data sources for a leading online education group.
Build and maintain AWS-based data pipelines and ETL workflows using Python, Spark, and Glue to feed analytics and reporting systems.
SAS Data Engineer supporting users during DWH migration, refactoring SAS code, and optimizing data access for BI/analytics in an international team.
Build and maintain end-to-end data pipelines and warehouses in Snowflake, using Matillion, dbt, Azure Data Factory, and Power BI to deliver scalable, high-performance analytics solutions.
Build and optimize Azure-based data pipelines using SQL, T-SQL, and Databricks to support scalable cloud data solutions.
Build and maintain data pipelines and cleaning processes for a leading insurance company, ensuring reliable analytics and compliance.
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