Platform Data Engineer

Job Description for Data Engineer:

proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.


Required Qualifications:
Candidate must be located within commuting distance of Austin, TX or be willing to relocate to Austin,TX . This position may require travel within the US and Canada.
Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
At least 4 years of experience in Information Technology.
At least 3 years of hands on experience with Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems.
At least 2 years of experience with Spark required.
At least 2 years of experience with Scala or Python required.
U.S. citizens and GC holders are encouraged to apply.
Preferred Qualifications:
At least 1 years of AWS development experience is preferred
Ability to work within deadlines and effectively prioritize and execute on tasks.
Strong communication skills (verbal and written) with ability to communicate across teams, internal and external at all levels.
Experience in Drive automations
DevOps Knowledge is an added advantage.
Proficient knowledge of SQL with any RDBMS.