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Big Data Spark Engineer

Request Technology - Craig Johnson

Posted on Aug 21, 2021 by Request Technology - Craig Johnson

Chicago, IL 60601
IT
Immediate Start
$80k - $110k Annual
Full-Time


*We are unable to sponsor for this permanent Full time role*

*Position is bonus eligible*

Prestigious Global Firm is currently seeking a Big Data Engineer. Candidate will drive the implementation of the defined innovation strategy through the design and architecture for analytics platform components/services utilizing Google Cloud Platform infrastructure and provide technical expertise to deliver advanced analytics.

Responsibilities:

Design, build & operate a secure, highly-scalable, reliable platform to consume, integrate and analyze complex data using a variety of best-in-class platforms and tools
Collaborate with various global IT teams to develop Big Data reference architecture patterns for data ingestion, data processing, analytics and data science solutions
Drive innovation through developing proof-of-concept's and prototypes to help illustrate approaches to technology and business problems
Provide strong technical skills with ability to design, architect, and get into low-level implementation details
Be a hands-on developer and build scalable, Real Time, Big Data systems whilst providing a deep business understanding of CPG functions & processes
Proven experience in working with globally distributing agile teams
Develop and maintain modern development & data management methodology

Qualifications:

Bachelor's degree in computer science, math, physics, engineering or a related field
2+ years of progressive experience in data and analytics, with at least 6 months experience in Google cloud platform
Overall, 2+ years of progressive experience working in software engineering teams
Experience with Google Cloud Platform technology stack for Data Analytics and Big data technologies (Big Query - DWH concepts, ANSI SQL, Big Table - HBase, DataProc - Spark/Hadoop, Dataflow - Apache Beam/Scala/Python) is required
Experience in developing the data pipeline, ETL processes, data platform, Datamodelling, and data governance processes in delivering end-to-end solutions
Solid foundation in design, data structures and algorithms, and strong analytical and debugging skills with customer-facing products experience
Good understanding of private and public cloud design considerations and limitations in the areas of virtualization, global infrastructure, distributed systems, load balancing, networking, massive data storage, Hadoop, MapReduce, and security.
Strong programming experience in Python and Scala
Experience of using development tools like Eclipse and IntelliJ
Experience of using Jenkins, GitHub flow and artifact repo.
Experience developing Real Time data streaming pipelines
Drive innovation by assessing, piloting, building DevOps/Cloud tooling and services to improve overall developer experience and productivity
Expertise & experience in building large scale, cloud based and open source projects.
Hands-on solution driven attitude, with ability to turn around quick insights along with delivering strategic capabilities
Multi-tasking ability to participate in multiple complex programs at the same time in an agile environment
Strong organization and prioritization skills along with outstanding written and verbal communication skills
Knowledge of agile software development methodology




Reference: 1293784032

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