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Enterprise Intelligent Software (EIS) Business Unit within Zebra Technologies (www.zebra.com) seeks a lead Database Centric Data engineer to develop a high performing, real-time data management capability that includes collecting, storing, processing and analyzing of huge sets of data from IOT, mobile, enterprise. The primary focus will be developing efficient solutions, then implementing systems to maintain, implement, and monitor them where ensuring high data quality is essential to mission performance. Candidate will demonstrate deep knowledge and experience to provide technical leadership for the team, take ideas from zero to completion, and provide the liaison raw data and meaningful business insights. We value high potential candidates who exhibit passion about using high quality operational data and software engineering to improve workflows on the front line of business
Work closely with Product Owner and Product Management team to determine the best way to architect our Database infrastructure to implement desired Requirements/Solutions.
Data can be stored securely, Data can be classified/modified dynamically upon ingestion for effective authorization and to support the data model structure.
Experience building ERP pipelines to warehouse, retail, and healthcare Systems-of-Record and onboarding real-time 3rd party data from DaaS providers or control systems
Consistent track record of building an operational data environment to maintain highly reliable, highly available, 24x7, real-time data pipelines from owned, partner, and 3rd party sources
5+ years of experience with building and shipping highly scalable distributed systems on cloud platforms and delivering large projects independently
Minimum of 5 years of experience working with SQL/RDBMS. Should have expertise in SQL
5+ years of experience of scripting in Python.
Experince in Web framworks like Django / Flask .
5+ years of experience working in a Big Data environment
3+ years of experience with Google Big Query,Hive
3+ years of experience with , Spark SQL and Dataframes.
Some experience with machine learning using either python or spark ML is a plus.
Experience working in Google Cloud Platform environment is a plus.
Experience working with streaming service like Kafka is a plus