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Data Engineer

extra holidays
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

3+ years experience in Data Engineering, Proficiency in SQL and Python, Strong understanding of data warehousing, ETL processes, and data integration, Familiarity with big data technologies, Excellent problem-solving skills.

Key responsabilities:

  • Design and develop scalable data pipelines and systems
  • Collaborate with stakeholders for data solutions
  • Implement data integration using ETL tools
  • Optimize data systems for performance
  • Ensure data quality and integrity
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Excelerate360 Marketing & Advertising SME https://www.excelerate360.com
51 - 200 Employees
See more Excelerate360 offers

Job description

Our client delivers data solutions to clients with a natural focus on Master Data Management and Data Quality. By providing highly experienced professionals with hybrid profiles, we establish a foundation for change. Their goal is to use the most advanced technologies available to help clients add value to their organization. They empower data to find the best solutions that increase potential.

Job Description:

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data architectures and systems that support our client's business objectives. You will work on multiple projects, providing your expertise to ensure the successful implementation of data solutions.

Key Responsibilities:

  • Design and develop scalable data pipelines and systems.
  • Collaborate with data scientists, analysts and other stakeholders to understand data requirements and deliver solutions.
  • Implement data integration solutions using ETL tools and techniques.
  • Optimize and maintain existing data systems for performance and reliability.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Develop and maintain documentation related to data engineering processes and solutions.
  • Stay up-to-date with emerging trends and technologies in data engineering.

Requirements

  • 3+ years of experience as a Data Engineer or in a similar role.
  • Proficiency in SQL and Python.
  • Experience with Azure
  • Experience with AWS is a plus
    Experience/familiarity with Soda, dbt and airflow is a plus
  • Strong understanding of data warehousing, ETL processes and data integration.
  • Familiarity with big data technologies such as Hadoop, Spark, etc.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and manage multiple projects simultaneously.
  • Strong communication skills in English.

Preferred Qualifications:

  • Experience working in a consultancy or similar environment.
  • Experience with Microsoft Fabric.

Benefits

  • Small Team, growing company: Join a close-knit team in a rapidly expanding company where your contributions are valued.
  • Freedom for initiatives: Enjoy the flexibility to propose and lead new initiatives, fostering innovation and creativity.
  • Competitive Compensation: Receive a competitive salary package tailored to your experience and skills.
  • Career growth opportunities: Benefit from ample opportunities for professional development and advancement within the company.
  • Diverse Projects: Work on a variety of projects across different industries, enhancing your skills and experience.
  • International focus: Be part of an internationally oriented company, collaborating with clients and colleagues from around the world.

 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Marketing & Advertising
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Motivational Skills
  • Verbal Communication Skills

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