Description
Job Summary:
We are seeking a professional to create and maintain data pipelines, develop architectures for data ingestion, transformation, and delivery, supporting analytical and business intelligence initiatives.
Key Highlights:
1. Data pipeline construction and maintenance.
2. Collaboration with IT teams and data scientists.
3. Data optimization and consistency assurance.
* We seek a professional to work on **data pipeline creation and maintenance**, as well as developing architectures for **data ingestion, transformation, and delivery**, supporting analytical and business intelligence initiatives.
**Responsibilities and Duties**
* Participate in the construction and maintenance of **data pipelines.**
* Collect, organize, and transform raw data for analytical consumption.
* Perform tests and validations to ensure **data consistency and integrity.**
* Support query and script optimization to improve performance.
* Collaborate with data scientists, analysts, and other IT teams to develop scalable solutions.
* Monitor automated workflows and report failures, contributing to operational stability.
* Document processes, scripts, and data flows clearly and systematically.
**Requirements and Qualifications** **MANDATORY**
* Degree in **Computer Science** or related fields.
* Experience in **Data Engineering** projects.
* Proficiency in **SQL, Python, and Git.**
**PREFERRED**
* Knowledge of **data modeling (OLTP and OLAP).**
* Experience with **Delta Lake, Cloud, and ETL.**
* Familiarity with tools such as **Data Factory, Airflow, and Spark.**
* Knowledge of Azure solutions, including **Synapse** and **Databricks.**
Since 1970, when a young engineer decided to found Plaenge, our purpose has always been clear: **to be a solid, ethical company with real impact on people's lives.** More than 55 years later, we are proud of what we have built: projects that transform cities, relationships founded on respect and trust, and a team that grows alongside our history.