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Senior Data Engineer maintains and troubleshoots enterprise data pipelines on Azure, ensuring reliable data delivery for LATAM operations and analytics.
Lead a team building and scaling an S3-backed data lake and OLAP pipelines for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Senior Data Engineer builds and maintains Preply’s data lake and ingestion pipelines, ensuring reliable, high-quality data for analytics, ML, and product features.
Build and maintain ETL/ELT pipelines in Azure Data Factory and Databricks, ingesting and transforming data into clean, analytics-ready datasets using PySpark, SQL, and cloud storage.
Build and optimize cloud data pipelines, real-time processing, and Lakehouse architectures using Python, PySpark, and SQL to feed AI models and business analytics.
Senior Data Engineer builds and migrates data pipelines for a life-sciences CRM transition, using Databricks, AWS S3, dbt, and Airflow to move and transform Salesforce/Veeva data into a cloud data warehouse.
Builds scalable Python data pipelines on AWS to automate manual Excel processes, integrating relational databases and S3 with Power BI for analytics.
Senior Data Engineer to design, build, and optimize data pipelines and warehouses in Snowflake, migrating ~1,000 pipelines while using Talend, Kafka, and cloud platforms.
Build and migrate data pipelines from Amazon Redshift to Databricks, using AWS services and enforcing data governance in a modern data lake architecture.
Senior Data Engineer maintains and troubleshoots enterprise data pipelines on Azure, ensuring reliable data delivery for LATAM reporting and analytics across business channels.
Lead a team building a marketing analytics platform, reviewing code, designing containerized Python/React apps via REST APIs, and integrating AI features into a data-heavy backend on AWS.
Lead a team to design and maintain large-scale ETL pipelines and OLAP data architecture on AWS, using S3 data lakes, Athena, Airflow, and Python, while enforcing code quality and guiding senior developers.
Designs and builds scalable data pipelines and lakes for finance teams, transforming raw financial records into actionable insights using SQL, Python, and GCP.
Build and maintain cloud data pipelines, ETL/ELT workflows, and ML model services using Python, SQL, AWS, Airflow, and dbt to power analytics and AI features for a logistics company.
Build and maintain reliable data pipelines and a Lakehouse architecture on Databricks to feed analytics, models, and APIs, while integrating AI/ML solutions and mentoring peers.
About Binagora At Binagora, we are a fully remote community of software crafters with over a decade of experience partnering with international clients. We collaborate with bold organizations to deliver high-quality,…
Own and deliver a corporate .NET full-stack project, owning the back-end, integrating data from SQL and Data Lakes, and optionally using React and Python for automation.
Builds and maintains enterprise data warehouses and data lakes, designing ETL/ELT pipelines and backend integrations to ensure reliable data flow across systems.
Build and maintain Python REST APIs (FastAPI/Flask) and React/TypeScript frontends for a marketing analytics platform, validating data from ETL pipelines and ML models while using AI tools critically.
Build and deploy scalable data pipelines, cloud infrastructure, and full-stack apps that expose AI models and processed data for enterprise clients.
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