Mid Data Engineer
Lean Solutions Group Colombia
Technology, Information and Internet · 1,001-5,000 employees
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About the role
The Data Engineer will support financial reporting initiatives by managing data within the Databricks data lake. This role involves collaborating with finance stakeholders to translate business requirements into effective data solutions.
What they look for
Requirements
Candidates must have a bachelor's degree in Computer Science or a related field and at least 3 years of experience in data engineering. Proficiency in SQL, Python, PySpark, and deep knowledge of accounting concepts like GL, AR, AP, and P&L are required.
Benefits
Full description
Company Overview:
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.
Position Title: Data Engineer
Category: Software Engineering & Architecture
Seniority: Mid
Location: LATAM
What you will be doing:
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.
Required Skills & Experience
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.
Nice to Have Skills
Knowledge of AI and machine learning frameworks.
Experience with R is a plus.
Experience with data visualization tools (Qlik or similar tools)
Soft Skills
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
Why you will love Global Technology Services:
● 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
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