Consultant- Data

Overview Join to apply for the Consultant- Data role at Slalom . At Slalom we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. We’re passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We’re thrilled by the opportunity to build the future we want to see, with anyone willing to join us. What You’ll Do Slalom's Data Engineering discipline 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: Data engineering consisting of streaming / real-time data solutions, modern data platforms, and data systems within products (e.g., database systems, graph databases, key-value stores, document databases and transactional systems)Data visualization Machine learning and artificial intelligence 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. You 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. What You’ll Bring As a Consultant in the Data Engineering discipline, you will bring a curious mindset to your client’s engagement, a thirst for knowledge and a hunger for fearless experimentation in new and interesting ways to meet our clients’ most pressing data challenges. You are a self-starter, effective in breaking down large problems into smaller ones, and eager to regularly share what you learn with others within your projects and in the broader Slalom community. You will have an insatiable need for becoming the best at what you do and have hands-on experience with data platforms and programming languages as you explore the range of technologies we help our clients with, 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)Visual analytics (Tableau, Power BI)Modern data workflows (Apache Airflow, dbt, Dagster)About Us Slalom is a modern consulting firm focused on strategy, technology, and business transformation. In 52 markets around the world, Slalom's teams have autonomy to move fast and do what's right. They are backed by regional innovation hubs, a global culture of collaboration, and partnerships with the world's top technology providers. Founded in 2001 and headquartered in Seattle, Slalom has organically grown to over 10,000 employees. Slalom has been named one of Fortune's 100 Best Companies to Work For seven years running and is regularly recognized by employees as a best place to work. Learn more at slalom.com. Slalom is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Business Consulting and Services #J-18808-Ljbffr