Data Engineer • Mid-Level

Who you are

You have a strong background in data engineering with experience in designing, developing, and maintaining ETL/ELT processes. Your expertise includes working with Oracle Data Integrator (ODI) and optimizing SQL queries across various databases such as Oracle, Teradata, and PostgreSQL. You are proficient in Python, particularly in data manipulation using libraries like pandas and numpy, and you understand the importance of data quality and validation. You have experience managing data flows between on-premise systems and cloud environments, ensuring data integrity and traceability.

You are a collaborative team player who enjoys working with analytics and data science teams to prepare high-quality datasets. You have a solid understanding of data modeling and are skilled in writing complex SQL queries, including joins, subqueries, and common table expressions (CTEs). Your experience with version control systems helps you maintain organized and efficient workflows.

Desirable

Experience with cloud platforms such as Azure, GCP, or AWS is a plus, as is familiarity with data governance and compliance standards. You are eager to learn and adapt to new technologies and methodologies in the data engineering field.

What you'll do

As a Data Engineer at NEORIS, you will be responsible for designing and implementing ETL/ELT processes that facilitate data integration and transformation. You will work closely with cross-functional teams to understand data requirements and ensure that data pipelines are efficient and reliable. Your role will involve writing optimized SQL queries and stored procedures to handle large volumes of data and improve performance.

You will automate data processing tasks and validation processes using Python, contributing to the overall efficiency of data workflows. You will also manage data flows between on-premise systems and cloud environments, ensuring that data is accurate and accessible for analytics and reporting purposes.

Collaboration is key in this role, as you will partner with analytics and data science teams to prepare structured datasets that meet business needs. You will participate in code reviews and contribute to best practices in data engineering, helping to foster a culture of continuous improvement within the team.

What we offer

NEORIS provides a competitive salary and benefits package, including pre-paid medical services and additional vacation days. You will have access to corporate tools and training platforms to support your professional development. The company promotes a hybrid work model, allowing you to balance remote work with in-office collaboration in Bogotá. Join us and be part of a multicultural team that values innovation and continuous learning.