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Senior Data Engineer - Azure & ETL Specialist

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
Minnesota (USA), United States

Offer summary

Qualifications:

Proven proficiency in ETL technologies, At least 3 years of Azure experience, Experience with Oracle database technology, Bachelor's degree or equivalent experience, Strong knowledge of data warehousing.

Key responsabilities:

  • Design and maintain robust ETL pipelines
  • Work with various data sources
  • Leverage expertise in Azure technologies
  • Collaborate with business analysts for dashboards
  • Apply understanding of software development life cycle
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Job description

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Your missions

Description

Are you a talented data engineer eager to join a rapidly growing manufacturing company? This is your opportunity to be part of a team aiming to double its size over the next few years. We are seeking a passionate individual to contribute significantly to our data processes and infrastructure.

Key Responsibilities

  • Design, build, and maintain robust ETL pipelines to transform and load data into our data warehouse.
  • Work with a variety of data sources, including relational databases, flat files, and web APIs.
  • Leverage your expertise in Azure and data warehouse technologies like Hadoop, Hive, and Spark.
  • Collaborate with business analysts to create insightful dashboards within our ERP system.
  • Demonstrate exceptional communication and problem-solving skills in all aspects of your work.
  • Apply a deep understanding of software development life cycle models and project management methodologies.

Required Qualifications

  • Proven proficiency in ETL technologies and methodologies.
  • At least 3 years of hands-on experience as a Data Engineer using Microsoft Azure.
  • Experience working with Oracle database technology.
  • Bachelor’s degree in Computer Science, Information Technology, or a related field is preferred, but equivalent experience will be considered.
  • Strong knowledge of data warehousing concepts, structures, and modeling.
  • Familiarity with data modeling, schema design, and database management.
  • A solid understanding of data architecture and visualization tools.

If you’re a motivated data engineer ready to make a significant impact, we encourage you to apply!

Employment Type: Full-Time

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • verbal-communication-skills
  • Problem Solving

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