
Data Engineering Analyst - Build
You will be an integral part of our cross-functional client teams, bringing a unique perspective and technical experience to each project. In this role, you will be a hands-on technologist who connects and models complex distributed data sets to build repositories such as data warehouses and data lakes using appropriate technologies. You will work with our clients and other McKinsey experts such as data scientists and architects to design and build cutting edge (big) data solutions. You will be a go-to expert for tackling data-related contexts ranging across addressing small to large data sets to structured/unstructured or streaming data. You will help with data extraction, transformation, curation and modelling.
Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
Exposure to big data platforms like Hadoop, hbase, CouchDB, hive, Pig, etc
Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions
Current student pursuing an undergrad or master's degree in the final year of a STEM-related field
Java
Scala
VBA
MS Access
Writing SQL queries
Time Management Skills
MS Excel skills
Driven and self-motivated
Prioritizing skills
Adaptability
Problem Solving Skills
Detail Oriented and Organized
Verbal and Written Communication
Multi tasker
According to JobzMall, the average salary range for a Data Engineering Analyst - Build in 2021 McKinney Ave, Dallas, TX 75201, USA is $68,000 - $90,000 per year. The salary range can vary depending on experience, qualifications, and the specific company.
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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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