Collaborate with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends and mentoring other engineers
Collaborate with digital product managers to deliver cloud-based solutions that drive powerful experiences

Bachelor’s Degree
At least 4 years of experience in application development
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
7+ years of experience in application development including Python, SQL, Scala, or Java (preferred)
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (preferred)
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred)
4+ year experience working on real-time data and streaming applications (preferred)
4+ years of experience with NoSQL implementation (Mongo, Cassandra) (preferred)
4+ years of data warehousing experience (Redshift, Databricks or Snowflake) (preferred)
2+ years of experience with Agile engineering practices (preferred)

Lead Data Engineer – Enterprise Platforms Technology

Key skills