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Senior Data Engineer - Scalable Pipelines & Cloud Analytics
Designs and maintains scalable cloud data pipelines and warehouses, enabling analytics and ML with tools like Spark, Airflow, and Snowflake.
Senior Data Engineer: Build Scalable AI Data Solutions
Design and deploy scalable data pipelines and governance frameworks for AI/ML and BI solutions using Spark, Hadoop, Kafka, and SQL.
Data Engineer | Hybrid - BGC
Designs and builds data pipelines, ETL processes, and streaming ingestion using Spark, Kafka, and cloud tools to feed analytics platforms.
Senior Data Engineer Bilingual
Designs and maintains scalable data pipelines and cloud-based data solutions to support analytics, reporting, and machine learning initiatives using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Sr. Data Engineer
Builds and maintains automated data pipelines using Spark, Kafka, Airflow, and cloud platforms like Azure or AWS to integrate and process large-scale data for AI-driven analytics.
Senior Data Engineer
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Data Engineering Lead (Snowflake/Databricks)
Lead a team to build and optimize scalable data pipelines using Snowflake, Databricks, and Kafka, ensuring security, governance, and performance for a global fast-food company.
Data Engineer - MRF05447
Designs and builds data pipelines to ingest, process, and store structured and unstructured data using cloud and on-prem tools like Spark, Kafka, and HDFS.
Senior Data AI Engineer
Designs and maintains scalable data pipelines and warehouses (e.g., Fabric, Databricks) to collect, store, and analyze data for analytics and ML, using SQL, Python, and cloud platforms.
Oliver Wyman - Data Engineer - Mexico City
Designs and maintains scalable data pipelines and infrastructure using Databricks, SQL, and Python to support data-driven consulting initiatives in a hybrid Mexico City role.
Lead, Data Engineer
Lead a team to design, build, and maintain data pipelines and warehouses for a leading fintech app, ensuring reliable data flow and quality for analytics and reporting.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to collect, process, and analyze data for an iGaming company using Java/Scala, SQL/NoSQL, and Spark.
Staff Data Engineer
Designs and maintains scalable data architectures, ETL pipelines, and ML data workflows to support NLP training data transformation for a global language-services provider.
Data Engineer
Designs and maintains scalable data pipelines and ETL processes using SQL, Python, and cloud tools to support analytics and decision-making.
Data Engineer
Designs and maintains data pipelines and systems using SQL, Spark, Python, and Azure tools to process and analyze raw data for business insights.
Data Engineer
Build and maintain scalable data pipelines with Spark to collect, store, and process iGaming data, then deliver dashboards and reports for data-driven decisions.
Databricks Data Engineer
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, Delta Lake, and Unity Catalog, then surface insights via BI tools and GenAI-ready datasets.
Data Engineer
Design and maintain scalable data marts and ELT pipelines using DBT, Fivetran, and SQL to power analytics for e-commerce and logistics platforms.
Analytics Data Engineering
Designs and maintains data infrastructure and pipelines using Apache Kafka, Spark, and Airflow to support AI/ML and BI workloads.
Data Engineer: Scale Data Pipelines for AI & BI
Designs, builds, and deploys data pipelines to power AI/ML models and BI insights for customers using cloud platforms and big-data tools.