Slalom is looking to solve the business problem of injecting intelligence into products, engineering systems that support learning and insight, and creating innovative data products for their clients through effective use of data engineering, machine learning, and artificial intelligence.
Requirements
- 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)
Responsibilities
- Work in collaborative teams 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 technologies
- Participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog
- Build the next generation of data platforms
- Work with some of the most forward-thinking organizations in data and analytics
- Design and implement data engineering solutions consisting of streaming/real-time data solutions, modern data platforms, and data systems within products
- Work with machine learning and artificial intelligence technologies
- Collaborate with clients to build world-class products through effective use of data engineering
Other
- Must be within commutable distance to one of Slalom's Atlanta, Boston, or New York City's office locations
- Expectation to be in-person with Slalom teams and clients as needed
- Bachelor's degree or higher in a relevant field (not explicitly stated but implied)
- Meaningful time off and paid holidays, parental leave, 401(k) with a match, and other benefits
- Annual discretionary bonus eligibility
