Lead Data Engineers
Lead Data Engineers
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Job Description
Some areas that have been lacking on some submittals are:
- Financial services experience
- 7 years of experience in application development including 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 realtime data and streaming applications
- 4 years of experience with NoSQL implementation (Mongo Cassandra)
- 4 years of data warehousing experience (Redshift or Snowflake)
Must Haves:
- 7 years of experience in application development including 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 realtime 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
- 2 years of experience with Agile engineering practices
About the team:
Authorizations is a team in Card Technology group solving various data problems and use cases. We are currently working on building a config driven Data Loading Orchestrator and a simplified loader that serves as a common backend capability for loading all of the data features of several clients into low latency datastores. You will be able to immediately contribute to the Authorization data projects and you will get the opportunity to use Java and Python. You will be challenged to problem solve and design solutions in a collaborative work environment where new ideas and solutions are encouraged and rewarded.
What Youll Do:
- Collaborate with and across Agile teams to design develop test implement and support technical solutions in fullstack development tools and technologies
- Work with a team of developers with deep 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 experimenting with and learning new technologies participating in internal & external technology communities and mentoring other members of the engineering community
- Collaborate with digital product managers and deliver robust cloudbased solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed elegantly coded and effectively tuned for performance
Employment Type
Full Time
