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Design and run data pipelines from CRM sources to a Databricks-based warehouse using dbt and Airflow, with Python/PySpark in an AWS S3 data lake.
Lead a team to design and maintain an S3-backed data lake and Airflow-based ETL pipelines for a marketing analytics platform, optimizing partitioning, file formats, and near-real-time processing.
Senior Data Engineer to design and build a scalable ML data platform using Snowflake, dbt, and Airflow/Dagster for analytics and model training.
Build and optimize cloud data pipelines and databases using Azure SQL, Python, and Airflow to support HR analytics and reporting.
Location: Colombia (Remote/Hybrid) Job Type: Full-time Department: Technology Product Development Support About The Role We are seeking a highly skilled Senior Support Engineer – Cloud & Data Engineering to join…
Build and maintain scalable data pipelines and the Elastic Hierarchy framework using Python, AWS, Snowflake, and DBT to support analytics and ML in a hybrid SaaS/on-premise environment.
Architect and build scalable ETL/ELT pipelines, optimize Snowflake schemas, and enforce data quality for enterprise analytics using Python, Airflow/Prefect/Dagster, and CI/CD.
Designs and scales a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas with DataOps practices.
Lead a team to build and maintain ETL pipelines and a data lake for a marketing analytics platform using Airflow, AWS S3, Athena, and EKS.
Lead a team to design and maintain scalable data pipelines and analytics infrastructure for a marketing analytics platform using AWS, S3, Athena, and Airflow.
Senior Data Engineer to design, build, and optimize data pipelines and warehouses, migrating 1,000 pipelines to Snowflake using Talend, Active Batch, Docker, and GitHub.
Build and optimize cloud data pipelines and databases using SQL, Python, and Azure tools to support analytics and reporting for clients.
Architect and scale a modern data platform by designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Python, SQL, and workflow orchestration tools.
Senior Data Engineer builds and migrates CRM data pipelines for a life-sciences client, moving Veeva/Salesforce data into Databricks with dbt, Airflow, and Delta Lake on AWS.
Design and scale a modern data platform, building ETL/ELT pipelines, optimizing Snowflake schemas, and enforcing DataOps practices with Python, SQL, and orchestration tools like Airflow.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines and optimizing Snowflake schemas with Python, Airflow, and CI/CD.
Senior Data Engineer builds and maintains Snowflake data platforms on AWS with Airflow orchestration, owning ELT pipelines, data quality, and governance for reliable analytics.
Lead a team to design and maintain an S3-backed data lake and real-time marketing analytics pipelines using AWS services like Athena, EKS, and Airflow.
Design and scale a modern data platform, building ETL/ELT pipelines, optimizing Snowflake schemas, and enforcing DataOps with CI/CD and orchestration tools like Airflow.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines and optimizing Snowflake schemas with Airflow, Prefect, or Dagster.
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