Mid Data Engineer

Global Technology Services 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, Philippines and the United States, contributing to

cutting-edge developments in multiple industries.

We are looking for a Data Engineer with strong Finance Accounting domain knowledge to

support initiatives related to Finance Accounting data and its reporting through our data lake

(databricks). This is an important requirement.

The ideal candidate should have a solid understanding of accounting functions and concepts,

including General Ledger (GL), Accounts Receivable (AR), Accounts Payable (AP), Profit &

Loss (P&L), and related financial reporting processes.

This will be a business-facing role, requiring the ability to work closely with Finance

stakeholders, understand their data and reporting requirements, and translate those

requirements into effective data solutions.

BS degree in Computer Science or a related subject

3 years of experience in a Data Engineer, Analytics Engineer, or similar role.

Strong Data Engineering experience

Good experience with General Ledger (GL), Accounts Receivable (AR), Accounts

Payable (AP), Profit & Loss (P&L), and related financial reporting processes.

Advanced proficiency in SQL and Python for data transformation and automation.

Experience working with PySpark.

Experience working with data lakes and reporting platforms

Experience working with Databricks or other data lake platforms.

Familiarity with the medallion architecture (bronze, silver, gold tiers).

Strong analytical mindset with experience in advanced analytics techniques.

Intermediate experience with ETL pipeline development and machine learning

operations.

Familiarity with Agile methodologies and Sigma Computing (preferred but not required).

Excellent communication and collaboration skills.

Knowledge of AI and machine learning frameworks.

Experience with R is a plus.

Experience with data visualization tools (Qlik or similar tools)

Collaborate seamlessly with technical and non-technical stakeholders to understand

and address their analytical needs.

Problem-Solving: Utilize agile methodologies to identify complex issues and implement

effective solutions in a timely manner

● 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 GTS 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