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Principal Data Engineer

fully flexible
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Full Remote
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Offer summary

Qualifications:

8+ years of experience as a data engineer with a focus on AWS services., Expertise in Python development and data architecture., Strong experience with containerization technologies and relational databases., Excellent problem-solving and communication skills, with a collaborative mindset..

Key responsabilities:

  • Make critical technical design decisions for data infrastructure.
  • Mentor and guide data engineers to adhere to best practices.
  • Influence team structure to optimize delivery and impact.
  • Ensure high standards of reliability, scalability, and performance in all deliverables.

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Bonapolia Scaleup https://www.bonapolia.com/
11 - 50 Employees
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Job description

Our Client is one of the TOP-5 global management consulting firms considered to be among the most prestigious ones in the world. Hundreds of customers from Fortune-500, including the largest global financial institutions, the world’s top media companies, technology companies and federal government agencies rely on our Client’s proven platform and services.

Project Description: As part of the delivery team you sit at the technical side and work closely with product to deliver practices’ top use cases to transform how we work using GenAI. You collaborate with supporting teams and practice leadership to maximize impact with the project and GenAI for specific practice use cases. You are responsible for developing practice GenAI use cases leveraging the project platform. You collaborate with cross-functional teams, including product managers, data scientists, engineers, data engineers designers, and Firm stakeholders, to define product requirements, prioritize features, and drive a successful delivery.

Stack on the project: AWS, Python, SQL

Requirements:

  • 8+ years of professional experience as a data engineer, with a strong focus on cloud- based data engineering using AWS services
  • Experience leading teams of engineering professionals
  • Creation of enterprise-grade data solutions at large scale
  • Expertise with Python development
  • Fluency with data architecture & data engineering patterns and ability to apply them appropriately
  • Experience with relational databases and vector stores
  • Strong experience with containerization technologies and AWS ECS
  • Practicing high coding standards with clean code, modularity, error handling, testing automation and more
  • Very driven, superstrong on execution and output orientation, likes to get job done attitude and ability to figure things out independently. Able to work in complex and very fast paced environment
  • Interest in Generative AI and other ML topics
  • Kedro framework experience as a plus
  • Holds their ground, opinionated, not afraid to speak up at any level
  • Familiarity with agile principles and product development
  • Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges
  • Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment

Responsibilities:

As a Principal Data Engineer, you will be responsible for making critical technical design decisions that shape our data infrastructure. You will mentor and apprentice data engineers, fostering their growth and ensuring they adhere to best practices. Your role includes influencing the data engineering team structure to optimize delivery and maximize impact. You will also be accountable for the quality of deliverables, ensuring that all code meets high standards of reliability, scalability, and performance. Your leadership and expertise will drive the team to achieve excellence in all aspects of data engineering.

English: Upper-Intermediate+

Locations: Poland



Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Problem Solving

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