Senior Data Engineer- Spark, Ab initio, Python, SQL, Data warehouse

Required Qualifications:

• 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 3+ years of Spark experience

• 3+ experience on Abinitio

• 3+ years of Python or other scripting language

• 3+ years of data warehouse experience

• 3+ years of SQL experience

• Ability to conduct code reviews with a focus on testability and code coverage.

• Should have experience working in an Agile environment using Scrum or Kanban.

• Fluent in communication

• Should have executed end to end projects in data engineering

• 1+ years of strong experience with Hadoop

• 1+ years of strong experience with Hive

• 1+ years of strong experience with Python

• 1+ years of experience with Kubernetes

• 1+ years of experience with Docker

• 1+ years of experience with Google Big Query

• 2+ years of experience with Autosys

• 2 years presenting to technical and executive audiences

• Good knowledge of non-relational DBMS platforms, (MongoDB or Neo4j)

• Good knowledge of real-time data streaming via Kafka

• Good knowledge of Cloud ecosystems such as Google Cloud Platform

• GCP Associate Cloud Engineer Certified is a plus