SENIOR DATA ENGINEER LDB

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.