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Data Engineer
Build and maintain cloud-based data pipelines and ETL processes to deliver clean, accessible datasets for enterprise clients in advertising and marketing technology.
Data Engineer - Streaming & Batch Pipelines
Build and run real-time and batch data pipelines on AWS using Kafka, Spark Structured Streaming, Delta Lake, and Glue; focus on reliability, performance, and ML feature prep.
Azure Data Engineer: Pipelines, Lakehouse & Power BI
Builds Azure-based data pipelines, lakehouse architectures, and Power BI reports using Data Factory, Databricks, and SQL.
Spark Data Engineer
Build end-to-end data pipelines and modern data architectures (Data Lakehouse, Data Mesh) using Spark, Python/Scala, Airflow, and cloud platforms (AWS/Azure/GCP) to turn raw data into scalable analytics and insights.
Azure Data Engineer
Build and optimize Azure-based ETL pipelines using Python, PySpark, and Azure Data Factory to migrate streaming data to batch storage in ADLS.
Data Engineer II
Build and maintain scalable cloud data pipelines for a global travel platform, using AWS, Kafka, Spark, and Scala to process billions of daily events.
Data Engineer Fabric
Build and maintain scalable data pipelines and lakehouses using Microsoft Fabric and Power BI, automating ingestion, transformation, and CI/CD workflows for analytics solutions.
Data Engineer - Developer
Build and maintain scalable data pipelines and platforms using Spark, Scala, Kafka, and cloud tech to enable analytics and decision-making across BNP Paribas.
Data Engineer
Build and maintain scalable data pipelines and cloud architectures to ingest, transform, and serve reliable data for analytics and reporting across hybrid environments.
Data Engineer
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and optimize data workflows for enterprise clients.
Data Engineer
Designs and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data platforms to support analytics and AI in high-security sectors like defense.
Data Engineer
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and transform data for clients.
Data Engineer
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting, processing, and modeling data with PySpark, ADF, and KQL for analytics and reporting.
Data Engineer
Build and maintain scalable data pipelines and infrastructure using Scala, Spark, and cloud tools to ensure reliable data processing and availability for users.
Senior Data Engineer Lead – Pipelines & Architecture
Lead the design and development of scalable data pipelines and architectures for a healthcare company, ensuring data availability and quality for analytics.
DATA ENGINEER
Builds and maintains scalable data pipelines for BNP Paribas using Scala, Spark, Airflow, and cloud storage, ensuring data quality and security while collaborating with cross-functional teams.
Data Engineer — Scalable Pipelines, Spark & Airflow
Builds and maintains scalable data pipelines using Spark, Airflow, and Scala, ensuring secure, high-performance data infrastructure for business needs.
Data Engineer / Big Data Engineer – Sector Bancario
Data Engineer building and maintaining scalable pipelines for a banking client using Python, Scala, Spark, Airflow, and Kubernetes.
Data Engineer: Build Scalable Data Pipelines in Cloud
Build and optimize scalable, multi-cloud data pipelines using SQL, Python, and ETL/ELT tools while collaborating with clients and internal teams.
Data Engineer - AWS Data Pipelines & Data Mesh
Builds and maintains AWS-based data pipelines and data mesh architectures using Spark/Scala, Python, and SQL to support scalable data solutions.