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Chief Data Architect at HCL Technologies

1 week ago

Budapest, Budapest, Czech Republic HCLTechnologies Full time
About the Role

As a Senior Data Engineer, you will play a pivotal role in delivering high-quality data products to internal stakeholders. This involves working on the development, testing, and deployment of applications and frameworks, as well as collecting, loading, preparing, cleaning, and delivering big and diverse datasets.

  • Developing and deploying data pipelines using Python, Spark, and Airflow.
  • Collaborating with stakeholders, product owners, and architects to align data delivery strategies.
  • Optimizing application performance and data delivery to ensure efficient data flows.
Key Responsibilities

You will be responsible for building, monitoring, and maintaining data pipelines, identifying ways to improve data quality and efficiency, and contributing to the creation of innovative data solutions. Your strong technical expertise and excellent communication skills will enable you to effectively convey your ideas to team members and stakeholders.

Requirements

To succeed in this role, you will need:

  • A minimum of 3 years of experience in data engineering.
  • A degree in computer science or a relevant field.
  • Expertise in Python, Spark, and Airflow.
  • Experience with Azure data tooling.
  • Strong SQL skills.
  • An understanding of distributed systems.
Working Environment

You will be part of a diverse and inclusive team within the IT Value cluster Customer Data Solutions. Our team environment is open and informal, with a good balance between work and fun.

Your Profile

We are looking for a motivated individual who is passionate about data engineering and has a drive to continuously improve their skills. You should be able to communicate complex ideas effectively and have a strong desire to contribute to the success of our team.