Data Engineer with Cloud Expertise
hace 3 semanas
We are excited to launch in Colombia, expanding our presence in the region and enhancing job postings with English and Spanish by early 2025. Our team at Slalom Build co-creates custom software, data, and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, driven by its potential as we help create innovative digital products, experiences, and organizations that drive true change.
About Data EngineeringSlalom Build's Data Engineering capability is focused on injecting intelligence into products, engineering systems that support learning and insight, and creating innovative data products. Within Data Engineering, we help customers build world-class products through effective use of modern data platforms, streaming / real-time data solutions, and data visualization tools.
- Data Engineering consisting of streaming / real-time data solutions
- Modern data platforms
- Data visualization tools
As a Senior Data Engineer for Slalom Build, you will work in teams with minimal oversight and direction to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data-related technologies.
Your RoleYou will typically work under the direction of a Solution Architect to help design and implement components of our clients' data platform solution. You'll also participate in design sessions, be experienced at breaking down complex development tasks, and be responsible for the timely and quality completion of development items assigned to you and the data engineers reporting to you.
RequirementsWe are looking for candidates who are interested in working in a hybrid environment as we build the foundation and grow our team in Colombia. The ideal candidate will have hands-on experience with data platforms and programming languages, including Big Data Platforms (Apache Spark, Presto, Amazon EMR), Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery), Object Oriented Coding (Java, Python), NoSQL Databases (DynamoDB, Cosmos DB, MongoDB), Container Management Systems (Kubernetes, Amazon ECS), Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio), Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka), and Visual Analytics (Tableau, PowerBI).
CompensationThe estimated salary range for this position is $120,000 - $180,000 per year, depending on experience and qualifications.
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