Slalom Consulting - Seattle, WA

posted 3 months ago

Full-time - Senior
Seattle, WA
Professional, Scientific, and Technical Services

About the position

At Slalom Build, we co-create custom software, data, and cloud products with clients who are ready to accelerate their digital transformation. Our passion for technology drives us to create digital products, experiences, and technology-driven organizations that foster true change. We are excited about the opportunity to build the future we envision, collaborating with anyone willing to join us in this journey. The Data Engineering capability at Slalom Build focuses on injecting intelligence into products, engineering systems that support learning and insight, and creating innovative data products. We assist customers in building world-class products through effective use of data engineering, which includes streaming and real-time data solutions, modern data platforms, and data systems within products such as database systems, graph databases, key-value stores, document databases, and transactional systems. Additionally, we emphasize data visualization and the integration of machine learning and artificial intelligence into our solutions. As a Senior Data Engineer, you will work in teams with minimal oversight to deliver innovative solutions on platforms like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. You will utilize core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. Your role will involve collaborating with forward-thinking organizations in data and analytics, typically under the guidance of a Solution Architect to design and implement components of our clients' data platform solutions. You will participate in design sessions, break down complex development tasks, and ensure the timely and quality completion of development items assigned to you and your team of data engineers.

Responsibilities

  • Work collaboratively in teams to deliver innovative data solutions on cloud platforms.
  • Design and implement components of clients' data platform solutions under the direction of a Solution Architect.
  • Participate in design sessions and contribute to the breakdown of complex development tasks.
  • Ensure timely and quality completion of development items assigned to you and your team.
  • Stay updated with innovations in data platform development and delivery.

Requirements

  • Hands-on experience with Big Data Platforms such as Apache Spark, Presto, and Amazon EMR.
  • Proficiency in Cloud Data Warehouses like Amazon Redshift, Snowflake, and Google BigQuery.
  • Strong coding skills in Object Oriented Programming languages such as Java and Python.
  • Experience with NoSQL Databases including DynamoDB, Cosmos DB, and MongoDB.
  • Familiarity with Container Management Systems like Kubernetes and Amazon ECS.
  • Knowledge of Artificial Intelligence and Machine Learning tools such as Amazon Sagemaker and Azure ML Studio.
  • Experience with Streaming Data Ingestion and Analytics tools like Amazon Kinesis and Apache Kafka.
  • Proficiency in Visual Analytics tools such as Tableau and PowerBI.
  • Experience with Modern Data Workflows including Apache Airflow, dbt, and Dagster.

Nice-to-haves

  • Curious mindset and a thirst for knowledge.
  • Eagerness for experimentation in new technologies and methods.
  • Ability to share knowledge and learnings with team members and the broader community.
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