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Senior Data Engineer
Senior Data Engineer at DiDi Chuxing troubleshoots large-scale data pipelines, optimizes BI/ETL systems, and resolves complex data issues across global teams using SQL, Python, and cloud data warehouses.
Azure Data Engineer
Design and optimize Azure-based data pipelines and platforms using Python, Spark, and SQL, ensuring ETL/ELT performance and integration with Snowflake and BI tools.
Sr. Data Engineer
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and cloud data solutions for manufacturing analytics and AI/ML at a global materials-science company.
Senior Data Engineer
Design and build enterprise-scale data platforms using SQL, Python, Snowflake, and dbt to power analytics, AI-enabled apps, and secure data products for a global cybersecurity leader.
Data Engineer
Designs, builds, and optimizes ETL/ELT pipelines and data warehousing solutions to support HR and payroll analytics using SQL, Python, and cloud platforms like AWS Redshift or Snowflake.
Data & Analytics Architect — Hands-On, Full Stack
Build and own database systems, ETL/ELT pipelines, and Tableau dashboards using SQL and Python for a data solutions company in Mérida.
Ssr Data Engineer
Designs and builds scalable data pipelines and warehouses using AWS/Azure, ETL tools, and SQL to enable business analytics and decision-making.
Data Engineer ID56348
Senior Data Engineer builds scalable ELT/ETL pipelines and data models in Python, SQL, dbt, and Airflow on AWS and Snowflake to power cost attribution and financial modeling for cloud optimization.
Data Engineer ID52278
Design and scale high-performance ELT pipelines for a centralized data warehouse, collaborating with cross-functional teams to build a robust, scalable data platform.
Data Engineer - Databricks
Build and maintain scalable data pipelines on Databricks and Azure to feed analytics, ML, and reporting for an insurance company.
Data Engineer
Design and optimize Snowflake-based data warehouses and ETL pipelines using SQL, Python, and cloud platforms to support analytics and reporting.
Remote Data Engineer – Databricks & Cloud Pipelines
Builds and optimizes scalable data pipelines using Databricks and Delta Lake, enabling analytics and ML across cloud platforms like Azure, AWS, or GCP.
GCP Data Engineer — Scalable Pipelines & Analytics
Designs and maintains GCP data pipelines, optimizes BigQuery, and builds ETL/ELT workflows to support business analytics and decision-making.
Junior Data Engineer: ELT Pipelines, Data Vault 2.0
Builds modern ELT pipelines with dbt and Data Vault 2.0, migrates legacy ETL, and maintains data transformations and integrations on Kubernetes.
Data Engineer Mid - GCP Data Migration & Pipelines
Data Engineer to migrate and govern data assets from BigQuery Sandbox to a managed Google Cloud Platform environment, building reliable ETL/ELT pipelines.
Lead Data Engineer
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Azure Data Engineer: Build Scalable Data Pipelines
Designs and builds scalable data pipelines on Azure using SQL, Python, Spark, Databricks, and Snowflake to enable reliable data processing and analytics.
Senior Data Engineer - Azure & Cloud Data Pipelines
Senior Data Engineer builds and maintains Azure-based data pipelines using Databricks and Synapse to transform raw data into reliable systems for analytics and business use.
Hybrid Data Engineer: Build Scalable Data Pipelines
Build and optimize scalable data pipelines using PySpark, SQL, and orchestration tools to ensure reliable data for analytics and advanced models in a hybrid environment.
Data Engineer — Build Life-Saving BioMed Data Pipelines
Builds and maintains data pipelines for biomedical data using SQL, Python, and cloud platforms like Databricks or Snowflake.