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Senior Data Engineer - AWS, Spark & Kafka
Maintains and evolves a corporate data lake on AWS, ensuring stability, scalability, and performance. Builds batch/streaming pipelines using Spark, Kafka, and Python for real-time data integration.
Senior Data Engineer (AWS)
Keepler is seeking a Senior Data Engineer to build and manage data platforms within AWS environments. The role involves designing data ingestion and processing pipelines using Python, Spark, and various AWS services.
Data Engineer: Cloud Analytics & Big Data
The Data Engineer will build and maintain scalable data pipelines and architectures using Python, Databricks, Snowflake, SQL, Spark, and Hadoop. This role involves collaborating with global teams on high-impact data and analytics projects.
Data Engineer - Multinational Company
The Data Engineer will build and manage data pipelines using Python, SQL, PySpark, and Apache Airflow within an AWS environment. The role requires professional fluency in both Spanish and English.
Data Engineer
The Data Engineer will build and maintain data pipelines using Python, PySpark, and AWS services in an Agile environment. The role requires proficiency in both Spanish and English.
AWS Data Engineer
Builds and maintains data pipelines, ETL/ELT processes, and data models on AWS (S3, Redshift) to ingest, transform, and analyze structured/unstructured data, collaborating with cross-functional teams to ensure data quality and operational efficiency.
Senior Data Engineer: Data Products & AI Pipelines
Builds and maintains scalable data pipelines and AI-enabled features using Python, Databricks/Spark, and Azure to power business software.
Data Engineer
Build and optimize large-scale data pipelines on AWS using PySpark, Kafka, and Spark Streaming to process and transform high-volume datasets.
Data Engineer: Big Data Pipelines (Spark/Scala) Hybrid
Designs and maintains Spark/Scala-based data pipelines and platforms, migrating Hadoop workloads to cloud while ensuring data quality and performance for BNP Paribas Personal Finance’s global data products.
Senior Data Engineer — AWS Cloud & Data Pipelines
Build and maintain cloud-based data platforms on AWS, focusing on data ingestion and processing pipelines using Spark, Python, and AWS services.
Senior Backend Spark Developer (Remote from Spain)
Build and optimize large-scale Big Data pipelines using Apache Spark (Scala/Python), Azure Databricks, and SQL to process and model data for enterprise clients.
Technical Operations Specialist - Second Line Support
About Netcraft Netcraft is the global leader in cybercrime detection and disruption. We’re a trusted partner for three of the four largest companies in the world and many large governments. We've blocked over 225…
Sr. Software Engineer
Senior software engineer building scalable, real-time ad-verification systems at massive scale using cloud-native tech, stream processing, and distributed caches.
Manager I, Engineering - Core Analytics
You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access…
Crew Data Solutions Analyst
The Crew Data Solutions Analyst designs and maintains scalable data pipelines and platforms to support analytics and operational decision-making for Air Canada. The role involves transforming raw data into governed assets using technologies like SQL, Python, Spark, and cloud-based data services.
Développeur(se) IA/AI Engineer – Databricks
The AI Engineer will design, develop, and deploy scalable agentic AI systems and generative AI applications using the Databricks platform. This role involves collaborating with data scientists and engineers to integrate AI models into production environments while utilizing Python, SQL, and modern cloud architectures.
Principal Engineer - Open Source Data Platform (ODP)
Principal Engineer defines the technical vision for Acceldata’s Open Data Platform, leading architecture and open-source contributions for scalable, distributed data systems powering enterprise analytics and AI.
Staff Engineer - Open Source Data Platform (ODP)
Staff Engineer architecting and leading development of the Acceldata Open Data Platform, a petabyte-scale distributed data infrastructure system. Core tech: Java/Scala, big data stack (Hadoop, Spark, Kafka, etc.), Kubernetes, and multi-cloud environments.
Copy of Machine Learning/AI Tech Lead
Lead a team of ML/AI engineers, owning the ML/AI product vision and translating local models into enterprise-grade products on PureFacts' SaaS platform using Python, ML frameworks, MLOps, and Azure cloud infrastructure.