Slalom-posted 4 months ago
Bogota, NJ
5,001-10,000 employees
Professional, Scientific, and Technical Services

At Slalom Build 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. Slalom 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: Data Engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems), Data Visualization, Machine Learning and Artificial Intelligence.

  • Work in small, collaborative teams with minimal oversight and direction to design and deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
  • Lead the analysis, architecture, design, and development of client's next generation Data Platform Solution.
  • Understand the client's current environment and technical challenges as well as their plans for evolving or creating their future state architecture.
  • Facilitate working design sessions with Slalom and client technical teams.
  • Communicate effectively to describe the pros and cons of solution designs and drive consensus.
  • Break down complex development tasks and ensure timely quality completion of development items.
  • Participate in pre-sales activities including defining approaches to solving technical challenges and helping estimate and plan projects.
  • Broad experience in architecture design.
  • Deep expertise in one or more data engineering technologies.
  • Curious mindset and a thirst for knowledge.
  • Self-starter with the ability to break down large problems into smaller ones.
  • Effective communication skills.
  • Experience with Big Data Platforms (Apache Spark, Presto, Amazon EMR).
  • Experience with Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery).
  • Experience with Object Oriented Coding (Java, Python).
  • Experience with NoSQL Databases (DynamoDB, Cosmos DB, MongoDB).
  • Experience with Container Management Systems (Kubernetes, Amazon ECS).
  • Experience with Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio).
  • Experience with Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka).
  • Experience with Visual Analytics (Tableau, PowerBI).
  • Experience with Modern Data Workflows (Apache Airflow, dbt, Dagster).
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