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Remote Data Engineer: Azure Synapse ETL Mastery
Builds and optimizes ETL pipelines using Python (PySpark) and Azure Synapse Analytics to move and transform data efficiently.
Remote Data Engineer - Azure Synapse & ETL
Builds and maintains ETL pipelines using Python (PySpark) in Azure Synapse Analytics, working with data architects to design storage structures in a fast-paced consulting environment.
Data Engineer - Cloud, PySpark & Databricks Pro
Builds and maintains cloud-based data pipelines using PySpark and Databricks on Azure, AWS, or GCP to support analytics and reporting workflows.
P.7302 Data engineer Semi Senior
Builds and maintains data pipelines in Microsoft Azure, integrating sources via ETL/ELT, modeling dimensional schemas, and delivering analytics-ready datasets for Power BI.
Senior Azure Data Engineer - Cloud Data & Analytics
Senior Data Engineer builds and maintains cloud data pipelines on Azure using Data Factory, Databricks, and PySpark.
AWS Data Engineer - ETL, Data Modeling & Governance
Builds and maintains serverless ETL pipelines on AWS for a banking client, focusing on data governance and cataloging using Glue, Lambda, Step Functions, and PySpark.
AWS Data Engineer - Data Governance & ETL (Hybrid)
Designs and runs AWS-based ETL pipelines and data cataloging for a banking client, using Glue, SQL, and PySpark in a serverless setup.
Data Governance Specialist (Aws Data Engineer)
Builds and maintains AWS-based data pipelines for a banking client, using Glue, Lambda, Step Functions, and PySpark to integrate, process, and catalog data.
Senior Data Engineer — AWS + Databricks | Lakehouse
Build and maintain AWS-based data pipelines for a bank using Databricks and PySpark on EMR/Glue.
Data Engineer — AWS ETL & Data Governance (Hybrid, 6m)
Builds and maintains AWS-based ETL pipelines for a Peruvian bank using Glue, PySpark, and SQL, with optional Lambda/Step Functions orchestration.
P.7302 Data Engineer Semi Senior
Builds and maintains data pipelines in Azure, transforming raw data into clean, analytics-ready datasets for Power BI dashboards.
Data Engineer Semisenior (AWS)
Build and maintain cloud data pipelines for a banking client, migrating legacy systems to AWS (S3, Redshift, Athena) using Python, PySpark, and AWS Glue.
Data Engineer (AWS) - Outsourcing
Build and maintain scalable AWS-based data pipelines for a national education client using Databricks, Spark, and PySpark to ingest, transform, and process large datasets.
Azure Data Engineer Senior
Senior Data Engineer builds and maintains Azure-based data pipelines using Data Factory, Databricks, and PySpark to enable analytics and reporting.
Azure Data Engineer - Semi Senior, ETL & Power BI
Builds and maintains Azure-based ETL pipelines, designs analytics-ready data models, and ensures data quality using Spark/PySpark and Azure DevOps.
Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure using PySpark and Databricks on Azure/AWS/GCP for enterprise clients.
Customer Data Engineer
Build and maintain data pipelines in AWS to feed a centralized data lake, then create dashboards in Power BI that surface business insights for Ripley Perú’s teams.
Data Engineer - Azure
Senior Data Engineer builds and maintains Azure-based data pipelines using Data Factory, Databricks, and PySpark to enable analytics and reporting for clients.
Data Engineer (AWS + Databricks)
Builds and maintains AWS-based data pipelines and Databricks Lakehouse solutions for a banking client, using PySpark, Glue/EMR, and orchestration tools like Airflow.
Senior Data Engineer
Design and build modern data platforms and ETL/ELT pipelines using Python, SQL, and tools like Databricks or Snowflake to deliver robust data solutions for customers.