[VU-123] | Senior Data Engineer Ii

[VU-123] | Senior Data Engineer Ii

06 mar
|
Veeam
|
Buenos Aires

06 mar

Veeam

Buenos Aires

Who You'll Work With: You'll be part of our Buenos Aires office.
This group brings together the best of McKinsey's digital capabilities to help our clients use digital technology to transform their businesses.
As part of this group, you'll join a global team working on everything from IT modernization and strategy to agile, cloud, cybersecurity, and digital transformation.
You'll typically work on projects across all industries and functions and will be fully integrated with the rest of our global firm.
You'll also work with colleagues from across McKinsey & Company to help our clients deliver breakthrough products, experiences, and businesses, both on technology and non-technology topics.
Our office culture is casual and social,



with an emphasis on education and innovation.
We have the freedom to try new ideas, experiment, and are expected to be constantly learning and growing.
There is also a strong emphasis on mentoring others in the group, enabling them to grow and learn.
What You'll Do: 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.
).
Qualifications: Bachelor's degree in computer science or equivalent; Master's degree preferred.
3+ years of software/technology client-facing experience.




Technical Architecture; strongly preferred experienced in modern technologies (ie.
AWS, Azure, GCP, and tools like Spark, Kafka, Snowflake, GCS Data Proc, Azure DataFactory, AWS Glue, Apache Beam/Flink, Python/PySpark).
Experience with data modeling, design patterns, building highly scalable and secured solutions.
Experience with Big Data migrations or IT transformations, with architecting or operating solutions build on AWS, MS Azure, Google, etc.
Experience in data warehouse or database architecture and ideally within a startup or startup-like working environment.
Working knowledge of software development tools and methodologies.
Excellent communication and presentation skills with a high degree of comfort in speaking with senior executives at large companies.




Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions.
Tolerance in dealing with bad quality data.
Distinct customer focus and quality mindset; able to see from and sell to multiple viewpoints.
Ability to work at an abstract level and gain consensus; excellent interpersonal, leadership and communication skills.
Able to work both independently and in various team settings.
Able to work under pressure with a solid sense for setting priorities.
Ability to manage own learning and contribute to domain knowledge building.

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