Offer summary

Qualifications:

Minimum of 3 years of relevant experience in data engineering., Strong experience in data pipeline development using Python and PySpark., Familiarity with data visualization tools, particularly Power BI., Full-stack development knowledge, including both frontend and backend components..

Key responsabilities:

Implement interactive workflow UIs and data visualizations using Power BI.

Develop and maintain data pipelines with PySpark for ETL processes.

Collaborate with the Data Engineering Team to support data integration and pipeline development.

Perform data validations, create unit tests, and debug issues related to data quality.

Job description

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 a multitude of 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 Mid+ Data Engineer to join our team. Here are the challenges that our next warrior will face and the requirements we look for:

Position Title: Mid+ Data Engineer

Location: Remote (LATAM)

What you will be doing:

As a Data Engineer you will be implementing interactive workflow UIs and data visualizations using Power BI. The candidate will also develop and maintain data pipelines with PySpark, collaborating with the Data Engineering Team to support data integration and end-to-end pipeline development. Additionally, the role supports high-scale, data-intensive workflow design and requires testing and quality assurance tasks, including data validation, unit test creation, debugging, and resolving issues related to data quality and staleness. The candidate must ensure software quality through testing and provide ongoing application maintenance as requirements evolve.

Implement data visualizations using Power BI.
Maintain applications as usage grows and requirements change.
Develop data pipelines using PySpark to create datasets and User Interface applications.
Collaborate with the Data Engineering Team to understand the ontology and data pipelines.
Support data pipeline development using Python and PySpark for ETL processes.
Support designing and building high-scale data-intensive workflows.
Perform data validations and analysis, and create unit tests using PyTest.
Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality.
Debug and resolve issues reported by users or identified through testing.

Required Skills & Experience:

Minimum of 3 years of relevant experience.
Full-stack development knowledge, including both frontend and backend components.
Strong experience in data pipeline development using Python/PySpark.
Familiarity with data visualization tools (Power BI).
Demonstrated ability to work autonomously and collaborate with cross-functional teams.

Nice to Haves:

Master’s Degree in Data Engineering, Business Analytics, Data Science, Statistics, or Computer Science.
Demonstrated work experience supporting Federal Civilian, State and Local Government, or Energy Provider clients.
Ability to support business development including RFP/RFQ/RFI responses involving data science/analytics/data engineering.
Working experience with Palantir Foundry and tools like Workshop, Quiver, and Slate.

Soft Skills:

Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities, with the capacity to work effectively across different time zones.

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 play a vital role in our continued success. Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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