Data Engineering Expert for Hybrid Environments
hace 5 días
We are excited to launch our Data Engineering capability in Colombia, offering enhanced job postings with English and Spanish in early 2025. Our team is passionate about co-creating custom software, data, and cloud products with clients who want to accelerate their digital transformation.
About Slalom Build
Who We AreSlalom Build is a highly scalable, high-velocity Build as a Service firm that works with clients in a flexible, collaborative, and repeatable methodology to create custom technology solutions for their most impactful initiatives. Our team of over 1500 Builders distributed across the globe is committed to delivering quality, versatility, and speed in product delivery while catering to individual client needs.
What We Do
As a Senior Data Engineer at Slalom Build, you will work in teams with minimal oversight 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.
You will participate in design sessions, break down complex development tasks, and be responsible for timely and quality completion of development items assigned to you and your team. Our hybrid environment offers flexibility to balance independent work with collaboration at our office.
The Ideal Candidate
We are looking for a self-starter with a curious mindset, a thirst for knowledge, and a hunger for fearless experimentation in new and interesting ways to meet our clients' pressing data challenges. You should have hands-on experience with big data platforms, cloud data warehouses, object-oriented coding, NoSQL databases, container management systems, artificial intelligence, machine learning, and visual analytics.
Key Skills and Qualifications
- 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)
- Visual Analytics (Tableau, PowerBI)
- Modern Data Workflows (Apache Airflow, dbt, Dagster)
Salary Range
Based on industry standards and location, the estimated salary for this role is $140,000 - $170,000 per year.
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