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Designs and builds scalable data pipelines, warehouses, and ETL/ELT workflows using Python, Java, Spark, and SQL to ensure clean, high-quality data for analytics and products.
Senior Data Engineer builds and maintains data pipelines in Airflow and dbt, cleans logs in S3, and enriches incident reports before escalation using SQL, Python, and BI tools.
Build and maintain scalable data pipelines using dbt, Snowflake, and Airflow to support analytics and marketing workflows for a Latam-based client.
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.
Senior Data Engineer builds and optimizes scalable data pipelines and cloud-based warehouses (BigQuery) to power a global ecommerce delivery platform.
Build and deploy scalable data pipelines, cloud infrastructure, and full-stack apps that expose AI models and processed data for enterprise clients.
Build and maintain Carrefour’s GCP-based data platform, automating pipelines for BigQuery, Cloud Storage, and Qlik BI tools to support e-commerce analytics at scale.
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems.
Lead a small team of senior data engineers to build and maintain scalable data infrastructure (Spark, Kafka, Airflow) and enable AI/ML workflows for a global fashion resale platform.
Build and maintain scalable, reliable data infrastructure using ClickHouse, CockroachDB, Trino, and Kubernetes, plus AWS services and Terraform.
Build and maintain data pipelines and cloud infrastructure for clients, focusing on Snowflake data warehousing, Data Clean Rooms, and cloud platforms like GCP, Azure, and AWS using Python, SQL, Docker, Terraform, and Airflow.
Build and maintain Snowflake-based data pipelines and AI platforms for clients, using Python, Spark, Airflow and Kubernetes to turn raw data into business insights.
Build and maintain a modern data platform (Snowflake, dbt, Airflow, Airbyte) on AKS, ensuring reliability, scalability, and observability while supporting internal data products and AI workloads.
Senior Data Platform Engineer builds and runs a modern data stack (Snowflake, dbt, Airflow, Airbyte) on AKS, ensuring reliability, scalability and security while enabling AI use cases and internal data products.
Senior data engineer building and securing data pipelines on Snowflake, dbt, Airflow and Airbyte, ensuring data quality and observability while collaborating with cross-functional teams.
Designs and optimizes cloud-based data pipelines using AWS, PySpark, and Databricks to process and govern enterprise data in agile, international projects.
Senior Data Analyst & Engineer builds and maintains Databricks/Azure pipelines, creates KPI dashboards, and delivers analytics to improve manufacturing quality and performance.
Lead the design and delivery of data pipelines and AI workflows for healthcare solutions using tools like Snowflake, Airflow, and Python.
Build and optimize modern data platforms using Snowflake and Databricks, design scalable pipelines, and implement CRM/CDP solutions for large retail, banking, and automotive clients.
Senior Data Engineer builds end-to-end data pipelines, modern data stacks, and analytics-ready warehouses for clients using SQL, Python, Airflow, dbt, and cloud DWHs like BigQuery or Snowflake.
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