Data Engineer Lead onsite Chicago or Richmond, VA

- You will build data pipeline frameworks to automate high-volume and real-time data delivery for our Hadoop and streaming data hub - You will build data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners

- You will transform complex analytical models into scalable, production-ready solutions

- You will continuously integrate and ship code into our on premise and cloud Production environments

- You will develop applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL

- You will work directly with Product Owners and customers to deliver data products in a collaborative and agile environment Responsibilities:

- Lead and develop sustainable data driven solutions with current new gen data technologies to meet the needs of our organization and business customers

- Master new technologies rapidly as needed to progress varied initiatives

- Break down complex data issues and resolve them

- Builds robust systems with an eye on the long term maintenance and support of the application - Leverage reusable code modules to solve problems across the team and organization

- Drive cross team design and influencing / development via technical leadership / mentoring - Influence cross team/matrix organization

- Broader knowledge sharing - Provide technical guidance to team members - Understands complex multi-tier, multi-platform systems

- Manage a team of data engineers (both full-time associates and/or third party resources) Basic Qualifications: - Bachelor’s Degree - At least 6 years of experience in application development (Internship experience does not apply)

- At least 2 years of experience in big data technologies

- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) - At least 2 years of people management experience Preferred Qualifications:

- Master's Degree - 7+ years of experience in application development (Python, SQL, Scala, or Java) - 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) - 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) - 4+ year experience working on real-time data and streaming applications - 4+ years of experience with NoSQL implementation (Mongo, Cassandra) - 4+ years of data warehousing experience (Redshift or Snowflake) - 4+ years of experience with UNIX/Linux including basic commands and shell scripting - 4+ years of experience with Agile engineering practices

Globant is an EOE M/F/D/V. For many positions, relocation is available if needed. Globant does not accept unsolicited third party resumes.