Senior Engineer - Data Engineering (GUADALAJARA)

at  Slalom Consulting

WHO YOU’LL WORK WITH

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 (e.g.., database systems, graph databases, key-value stores, document databases and transactional systems)
• Data visualization
• Machine learning and artificial intelligence

ABOUT US

Slalom Build is a highly scalable, high-velocity Build as a Service firm. We work with clients in a flexible, collaborative, and repeatable methodology to create custom technology solutions for their most impactful initiatives and to accelerate their digital transformation journey. Over 1500 Builders strong, distributed across the globe, our innovation hubs attract the type of people who contribute to thriving teams. By placing builders in close proximity to clients – as well as their cultural and technology cohorts – we can assure the quality, versatility, and speed that product delivery demands, along with the elasticity and scale to tailor to individual client needs.
Slalom Build leverages a foundation of innovation inherited from Slalom, a Seattle based firm that set out in 2001 to disrupt and redefine management consulting. Now 13,000+ professionals strong around the globe, Slalom is deeply engaged with some of the world’s most influential, change-making enterprises. Learn more at slalombuild.com or slalom.co

WHAT YOU’LL DO

Slalom Build’s Data Engineering capability is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.
As a Senior Data Engineer for Slalom Build, 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. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.
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.
We are looking for candidates who are interested in working in a hybrid environment as we build the foundation and grow our team in Mexico. We offer a flexible working environment to balance the need to work independently, with days that may require in-person collaboration at our office.

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, PowerBI)
• Modern Data Workflows (Apache Airflow, dbt, Dagster