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Build and maintain data pipelines in Dataiku, Python, and SQL, enabling analytics and ML for business stakeholders.
Builds and optimizes data pipelines using dbt, Snowflake, Airflow, and Python to deliver reliable, high-performance data platforms for clients in finance, healthcare, mobility, and climate sectors.
Lead Data Engineer building scalable, reliable data pipelines in Snowflake using SQL, Python, and DataOps practices to ensure high-quality, observable data flows for analytics.
Design and deploy modern data analytics solutions on Microsoft Azure and Fabric, building ETL pipelines and optimizing data models for BI insights.
Consultant builds and optimizes cloud data pipelines on GCP for enterprise clients, blending Data engineering and BI to support digital transformations.
Senior Data Engineer builds and optimizes Databricks pipelines in Spark/Python, coaches teams, and models data to power AI products.
Senior Data Engineer designs and optimizes modern data solutions for client projects in a tech-consulting firm.
Lead a team to build, optimize, and maintain modern data pipelines using DBT and SQL, ensuring reliable, scalable data infrastructure for enterprise clients in finance, healthcare, mobility, and climate sectors.
Build and optimize data pipelines using DBT and SQL to create scalable data lakes for clients in a collaborative, client-facing role.
Build and optimize Microsoft Azure data pipelines and warehouses for clients, using Azure Synapse and SQL to integrate and analyze data for business intelligence and reporting.
Build and maintain cloud-based data pipelines and modern data platforms for enterprise clients, focusing on Azure Data Factory, Python, and SQL to ensure reliable, high-quality data flows and analytics.
Designs and optimizes data pipelines using Snowflake, Airflow, and dbt in an agile hybrid setup.
Lead Data Engineer designs and enforces data-pipeline standards using SQL and Python to ensure scalable, reliable data platforms for modern data projects.
Build and maintain scalable data pipelines using DBT and SQL to transform raw data into reliable, analytics-ready models for modern data warehouses.
Senior Data Engineer builds and maintains dbt-based data pipelines and models to ensure reliable, high-quality data flows for client projects.
Consultant builds and optimizes data pipelines on Databricks for clients, using Python, Scala, and SQL to enable analytics and transformation.
Senior Data Engineer designing and optimizing data solutions for clients, collaborating with technical teams to build innovative data platforms.
Senior Data Engineer consultant designing and optimizing Databricks and Apache Spark pipelines for clients' digital transformations, mentoring internal teams.
Consultant builds and audits data pipelines for clients using Databricks, Python, and Spark, advising on decision-support systems and modernization projects.
Build and maintain scalable data pipelines on Databricks using Spark, Scala, and Python to integrate and process enterprise datasets for clients.
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