Data Engineer

Key Requirements and Technology Experience:

Key Skills; Hadoop, PySpark, and Python.
Requires 7+ years of development experience
Experience working with big data and eco system (e.g. Hadoop, Hive, PySpark, Sqoop, Impala, etc.)
Experience with high level programming languages (Python, Perl, Java, etc)
Experience working with database systems (e.g. Exadata, etc.)
Experience working as part of an Agile team and using Agile SDLC tools (Jira, etc.)
Ability to partner with other functional areas to ensure execution of development, design, coding, testing, debugging and documenting application
Ability to develop awareness of business function for which application is being designed in order to drive out detailed requirements and form effective partnerships
Strong analytical ability, independent problem solving, and good communication skills
Demonstrated ability to learn new technologies and deliver in a fast-paced agile environment
Expert knowledge and experience in software development methodologies and industry practices
Expert understanding and experience with building and deploying enterprise applications
Ability to work in a matrix environment with minimal supervision
Excellent diagramming skills. Expertise in using PowerPoint and clearly articulating findings/presenting solutions
Should be able to lead the team , guide other developers , help with design and write/edit frameworks scripts