
Big Data Engineer
You will be responsible for designing mission-critical digital solutions on various platforms, including analytics and big data solutions. In this role, you will serve large global companies in building secure, scalable cloud architectures. You'll help clients construct Big Data solutions providing strategic direction to design and drive the architecture and implementation plan. Also, you implement robust security measures, as well as practice DevOps and agile principles. You'll lead technical design workshops, and you'll actively participate in external and internal meetings (e.g., conferences, etc.). You'll have the opportunity to apply your entrepreneurial skills and will work on architecture and security challenges while helping to serve our clients and educate them and our teams on Big Data architecture.
3+ years of software/technology client-facing experience
Experience in design and implementation with Big Data Solutions and distributed applications
Experience with Big Data migrations or IT transformations, with architecting or operating solutions
Ability to manage own learning and contribute to domain knowledge building
Experience in data warehouse or database architecture and ideally within a startup or startup-like working environment
Python
Presentation skills
Kafka
Snowflake
PySpark
AWS Glue
Strong Analytical Skills
Great time management
Azure DataFactory
Apache Beam/Flink
Verbal communication
Prioritizing skills
written communication
Multitasking Skills
Adaptability
Detail Oriented and Organized
Challenge driven
According to JobzMall, the average salary range for a Big Data Engineer in LaSalle Plaza, 800 Lasalle Ave, Minneapolis, MN 55402, USA is $82,440 to $139,824.
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McKinsey & Company is an American worldwide management consulting firm. McKinsey publishes the McKinsey Quarterly since 1964, funds the McKinsey Global Institute research organization, publishes reports on management topics, and has authored influential books on management.

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