Data Engineer

at  Slalom Consulting

Austin, Texas, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate02 Jun, 2024USD 350 Annual02 Mar, 20243 year(s) or aboveAnalytics,Mongodb,Machine Learning,Amazon Redshift,Apache Kafka,Snowflake,Apache Spark,Dbt,PrestoNoNo
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Description:

This is a hybrid position based in Austin and requires living within a commutable distance of the city.

ABOUT US

Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 11,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We’re honored to be consistently recognized as a great place to work, including being one of Fortune’s 100 Best Companies to Work For seven years running. Learn more at slalom.com.

WHO YOU’LL WORK WITH

As a modern technology company, we’ve never met a technical challenge we didn’t like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies.
Slalom Austin is looking for an experienced, collaborative and curious Data Engineer who will work closely with Austin clients to deliver on their transformative data & analytics modernization efforts. We’re excited to provide the opportunity to solve complex & cutting edge technology problems across diverse industries here in Austin!

Responsibilities:

  • 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


REQUIREMENT SUMMARY

Min:3.0Max:4.0 year(s)

Information Technology/IT

IT Software - System Programming

Software Engineering

Graduate

Proficient

1

Austin, TX, USA