Description:

Paystone is seeking a talented and experienced Data Engineer to join their team in Medellín, Colombia.
The role involves building and maintaining robust data pipelines and integrations, ensuring data quality, and enabling self-serve analytics across platforms.
The Data Engineer will collaborate with teams across the organization, including visionary leaders, analysts, and software engineers, to unlock the true potential of data.
The team thrives on innovation and stays at the forefront of cutting-edge technologies, including big data frameworks and machine learning algorithms.
Responsibilities include building and maintaining data pipelines for product lines, maintaining product cross-references for reconciliation with Finance ledger entries, developing integrations with third-party software, constructing data pipelines using Databricks technology, and delivering data to external parties.

Requirements:

Candidates must have strong technical knowledge of programming languages, including SQL, Python, and Spark.
Experience in integrating, transforming, and consolidating data from diverse data systems into analytics solutions is required.
A good understanding of databases, SQL coding, ETL tools/techniques, data profiling, and modeling is necessary.
Proficiency in implementing data cloud platforms and constructing data pipelines is essential.
Excellent communication skills are needed to collaborate with cross-functional teams.
Knowledge of Looker is considered a significant plus.