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Senior Data Engineer / ML Platform
Build and scale a cloud-native data platform on AWS to power real-time recommendations and analytics for Europe’s leading brands.
Data Engineer | Hybrid - BGC
Designs and builds data pipelines, ETL processes, and streaming ingestion using Spark, Kafka, and cloud tools to feed analytics platforms.
Data Engineer (Trade Surveillance)
Build and maintain data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality across AWS infrastructure.
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.
Senior Data Engineer (MSP)
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Data Engineer: Build Scalable Pipelines for Analytics
Designs and maintains scalable data pipelines and ETL/ELT processes using Spark, Airflow, and dbt to support analytics and business intelligence.
Senior Data Engineer: Scalable Pipelines & Insights
Designs and maintains scalable data pipelines and storage systems using Python, Java, Spark, and SQL/NoSQL databases to ensure data quality and deliver business insights.
Senior Data Engineer (Hybrid Setup)
Build and maintain scalable, real-time data pipelines on AWS and Databricks using Kafka, Spark, Flink, and Airflow, ensuring high-throughput data processing and quality.
Data Engineer (PH)
Build and maintain scalable data pipelines on Databricks and AWS, focusing on ETL, real-time streaming with Spark/Kafka, and cloud infrastructure optimization.
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.
Data Engineer - Mexico
Design and build scalable data platforms on AWS, Azure, and GCP, using cloud warehouses, Spark, Kafka, and Python/Java to enable AI-driven analytics for enterprise clients.
Azure Data Engineer
Build and maintain scalable ETL pipelines using Azure Data Factory, Synapse, Databricks, and Spark to process and optimize data solutions.
Staff Data Engineer
Lead the design and evolution of a robust Data Platform, building certified data products from sales, inventory, logistics and finance datasets to ensure reliable, traceable and actionable business decisions.
Data Engineer (ETL,SQL,Python)
Builds and maintains scalable data pipelines and ETL processes using Python, SQL, and cloud tools to transform raw data for analytics and machine learning.
Data Engineer - Databricks
Build and migrate ETL/ELT pipelines on Databricks and AWS for a global fund-services provider, using Delta Lake, Spark, and AWS Glue.
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.
Lead Data Engineer
Lead a team of data engineers to design, build, and optimize cloud-based data pipelines and warehouses using Python, SQL, Spark, and cloud platforms like Azure or AWS.
Azure Data Engineer
Design and maintain Azure-based data pipelines and Medallion Architecture using PySpark, Azure Databricks, and Data Factory to clean, transform, and deliver enterprise reporting data.