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Senior Data Engineer

72% Flex
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Undergraduate degree in computer science/engineering or equivalent experience, 5+ years of experience in data engineering.

Key responsabilities:

  • Analyze and organize raw data
  • Build data systems and pipelines
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Conduct complex data analysis and report results
Lean Tech logo
Lean Tech Information Technology & Services SME https://www.leangroup.com/
501 - 1000 Employees
See more Lean Tech offers

Job description

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Description

Company Overview:

 

Lean Tech is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer many opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting-edge developments in multiple industries.

 

Currently, we are seeking a Senior Data Engineer with a strong English level to join our team. Here are the challenges that our next warrior will face and the requirements we look for: 

 

Position Title: Senior Data Engineer 

 

Location: Remote - LATAM

 

What you will be doing:

 

You will use various methods to transform raw data into useful data systems to achieve positive business outcomes. To succeed in this position, you should have strong analytical skills and the ability to combine data from different sources. If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you. Your responsibilities will include: 

 

  • Analyze and organize raw data 
  • Build data systems and pipelines
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results 
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Identify opportunities for data acquisition

 

Requirements & Qualifications
To excel in this role, you should possess:
  • Undergraduate degree in computer science/engineering, or equivalent experience working with data required 
  • High school diploma/GED required
  • 5+ years of experience in data engineering, with an understanding of core data engineering concepts: ETL/ELT, CDC, Data Modelling, and Data retention policies.
  • Azure experience
  • Background in data/business analysis
  • SQL Server
  • Azure SQL
  • ADF
  • Data Lake
  • Power BI
  • Excellent communication (verbal and written) skills
  • Understanding of agile processes 
  • Experience with Aha! Develop, Jira, and/or Microsoft DevOps a plus
  • Experience in the Microsoft ecosystem including .NET and Visual Studio/VSCode a plus
  • Experience with Mongo and/or Postgres a plus
  • Azure certification is a plus
  • Experience designing, developing, and integrating APIs a plus

 

Why you will love Lean Tech:

 

  • Join a powerful tech workforce and help us change the world through technology
  • Professional development opportunities with international customers
  • Collaborative work environment
  • Career path and mentorship programs that will lead to new levels. 



Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will be vital to our continued success. Lean Tech is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Analytical Thinking
  • Organizational Skills
  • Effective Communication
  • Detail-Oriented
  • Fostering a Collaborative Work Environment

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