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Senior Data Engineer (Hadoop, Spark)
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a hybrid Agile environment, collaborating with analysts and engineers to deliver high-performance ETL solutions.
Big Data Engineer (junior/mid)
Build and maintain big-data pipelines (Spark, Hadoop, Elasticsearch) to detect fraud and financial crime for a global bank, using Scala and Java/C#.
Big Data Engineer - junior/mid
Build and maintain big-data pipelines using Spark, Hadoop, and Scala to detect fraud and financial crime for a global bank serving 36M customers.
Senior Data Engineer On-Premises Data Platforms
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Senior Data Engineer with GCP
Design, build, and optimize scalable cloud data pipelines and warehouses using GCP, Python, PySpark, and SQL to deliver reliable data products for business needs.
Junior Data Engineer (Data & AI Factory)
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Senior Data Engineer On-Premises Data Platforms
Design and maintain enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Junior–Mid Big Data Engineer: Spark, Scala & Pipelines
Build and maintain scalable data pipelines using Spark, Hadoop, Scala, and Elasticsearch to detect financial crime and ensure compliance.
Senior Data Engineer (Knowledge graph)
Build and optimize scalable data pipelines, ETL processes, and cloud-based data architectures using Python/Java/Scala, Spark, Kafka, and cloud platforms (AWS/Azure) to support large-scale analytics and client projects.
Senior Data Engineer (Team Lead)
Lead a remote team building scalable data pipelines with Kafka, Spark, and Hadoop, mentoring engineers and optimizing cloud data platforms like BigQuery.
Machine Learning Engineer/Data Engineer
Build and deploy ML models and data pipelines for a financial-services client’s new AI practice using Python, Spark, Hadoop, and SQL.
Lead Data Engineer (Spark) @ Addepto
Lead a team building scalable data pipelines and platforms for enterprises using Spark, Airflow, and cloud tech to process terabytes of streaming and batch data for analytics and ML.
Big Data Engineer IV @ OpenX
Design and build large-scale data pipelines and systems to process billions of ad requests daily, using Java/Scala/Python, Spark, and BigQuery on GCP/AWS.
Senior Data Engineer/ML
Senior Data Engineer/ML Engineer builds and deploys ML models and pipelines in a banking context using Python, Spark, and AWS services like SageMaker and Glue.
Data Engineer — Big Data & Cloud Analytics
Designs and implements big-data pipelines and analytics solutions using Hadoop and Python for a data-focused tech company.
Senior Big Data Engineer: Spark, Scala & Pipelines
Builds and maintains scalable big-data pipelines using Spark, Hadoop, and Elasticsearch to process financial crime and fraud data for a global bank.
Senior Big Data Engineer
Builds and optimizes large-scale data pipelines using Scala, Spark, Kafka, and Airflow to process massive datasets for global stakeholders in the mobile app ecosystem.
Senior Data Engineer
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Senior Data Engineer
Design, build, and optimize large-scale data pipelines and warehouses for a finance-automation SaaS, ensuring data quality and accessibility for analytics and product teams.
AI Data Engineer (Data Engineering, Cloud Platform, Python)
Build and maintain scalable data pipelines and AI-ready cloud infrastructure using Python, PySpark, and cloud platforms to support analytics and machine learning workflows.