Senior Data Engineer

Role Overview

• Develop and maintain data ingestion pipelines (batch and streaming) using Microsoft Fabric, Pipelines, and Python.
• Design and structure analytical data models (Star Schema, Snowflake, Data Vault) to support BI and Data Science teams.
• Optimize complex SQL/PLSQL queries and large-scale processing with Microsoft Fabric.
• Apply Data Governance policies, ensuring data lineage, security, and information quality.
• Implement automation and integration processes focused on operational efficiency and support for accounting/claims processes.

Requirements

• Education: Bachelor's degree in IT (completed).
• Cloud expertise: Hands-on experience with Microsoft Fabric, Azure Data Factory, or AWS.
• Databases: Advanced SQL and experience with Oracle (PL/SQL) and relational/non-relational databases.
• Big Data frameworks: Knowledge of Apache Spark, Kafka, and Microsoft Fabric environments.
• Programming: Proficiency in Python for data engineering.
• BI: Familiarity with Power BI for data provisioning.

Tech Stack

• Apache
• AWS
• Azure
• Cloud
• Kafka
• Oracle
• Python
• Spark
• SQL
• Vault

Benefits

• Medical insurance
• Dental insurance
• Meal allowance
• Life insurance
• Childcare assistance
• Support for dependents with disabilities
• Training
• Certification incentives
• Running incentives (corporate wellness)
• Partnerships with universities
• Partnerships with language schools
• Digital work environment
• TotalPass
• Use of cutting-edge technology
• And much more!