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Build and migrate data pipelines to a modern lakehouse using Spark and Iceberg, replacing a legacy Hadoop warehouse while maintaining core reporting systems.
Build and deploy AI-powered Python applications, REST APIs, and ML pipelines using TensorFlow/PyTorch, Docker, and cloud AI services.
Designs and deploys secure, high-throughput data pipelines and warehouses for a capital firm’s facility, using Hadoop, Spark, Kafka, and cloud tools.
Designs and builds scalable big-data platforms and pipelines in Oman using Hadoop, Spark, Kafka, and cloud tools to power analytics and business intelligence.
Designs and deploys high-throughput data pipelines and distributed storage systems using Hadoop, Spark, Kafka, and cloud data warehouses for enterprise-grade data infrastructure.
Designs and builds scalable big-data platforms for analytics and BI using Hadoop, Spark, Kafka, and cloud tools in an on-site role in Salalah.
Build and maintain cloud data pipelines for a global bank, migrating on-premise systems to the cloud and supporting PowerBI reporting for Caribbean teams.
Design and maintain scalable big-data pipelines using Hadoop, Spark, Kafka, and NiFi to process and structure high-volume data streams in distributed systems.
Build and maintain large-scale data platforms using Hadoop, Spark, and Kafka to support analytics and processing workloads with a focus on performance and reliability.
Build and maintain cloud data pipelines in Snowflake, transforming raw data into analytics-ready datasets for analysts and scientists across Medtronic’s healthcare products.
Build and maintain real-time AML data pipelines and ML models using Spark, Kafka, and cloud platforms to detect money laundering for financial institutions.
Location: Colombia (Remote/Hybrid) Job Type: Full-time Department: Technology Product Development Support About The Role We are seeking a highly skilled Senior Support Engineer – Cloud & Data Engineering to join…
Senior Data Engineer to design, build, and optimize data pipelines and warehouses, migrating 1,000 pipelines to Snowflake using Talend, Active Batch, Docker, and GitHub.
Senior Big Data Engineer designs and builds scalable data pipelines using Spark, Hadoop, and AWS, collaborating with global teams to process and analyze large datasets.
Build and scale data pipelines, warehouses, and analytics for a global fintech/crypto platform using Python, Spark, Kafka, and cloud tools.
Build and maintain cloud-based data pipelines on Snowflake and AWS, transforming raw data into analytics-ready datasets for cross-functional teams in a healthcare company.
Build and maintain scalable data pipelines and cloud-based analytics solutions using Python, SQL, and tools like Databricks and Spark to turn marketing and media data into actionable insights.
Build and maintain data pipelines and cloud-based architectures for Fortune 500 clients, coding primarily in Python or Scala and working with Spark, Azure, and Databricks.
Build and scale an on-premise Kubernetes-based data platform for a global payments unicorn, blending SRE, data, and ML engineering to support real-time transactions and GenAI services.
Builds and scales a global fintech data platform handling petabytes, focusing on distributed compute, storage, streaming infra, and OLAP engines using Python and the Hadoop ecosystem.
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