Data Engineer

Location IN-Bangalore
Job ID
98180
Function
Engineering
Recruiter
Smithamol Sebastian
LITag
#LI-SS1
Employment Type
Employee (Full-time)
Position Level
Senior/Supervisor

Overview

At Zebra, we’re reinventing how businesses operate at the enterprise edge - helping them run faster, smarter, and more connected than ever before.

A dynamic community of builders, doers and problem solvers, we each play a unique role - shaping new technologies, bringing solutions to market, and partnering with companies on the front line of business.

Being a part of Zebra means making your mark as we make digital transformation a reality.

It means growing into a leader at a leading company that makes a distinct difference - because together, we’ve only just begun.

Build Today. Create Tomorrow.

Join a team of builders, doers and problem solvers.

Join Zebra.

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

Responsibilities

Work closely with Product Owner and Product Management team to determine the best way to architect our Database infrastructure to implement desired Requirements/Solutions.

  • Work closely with business partners to identify needed data needs
  • Work closely with technical lead partner to ensure architected solution integrates into client target architecture/systems.
  • Architect and help implement robust and rich data model(s) to ensure:

 Data can be stored securely, Data can be classified/modified dynamically upon ingestion for effective authorization and to support the data model structure.

  • Data can be retrieved through APIs with high performance and high reliability, using rich query structure.
  • Architect and deploy on-prem as well as cloud-based database structures that can scale with high-reliability and high-availability.
  • Develop database solutions by crafting proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications.
  • Maintain database performance and tune databases for fast analysis by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases.
  • Work hands on to do both development as well as peer reviews of source code and then develop automated methods for data validation through unit and integration tests.

Qualifications

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

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