Senior Data Engineer

Description

Job Summary: Proactive and collaborative professional to develop, maintain, and optimize ETL/ELT processes, model data, and support data migrations in cloud environments, bridging business and technology. Key Highlights: 1. ETL/ELT process optimization across multiple platforms 2. Python script development and automation 3. Collaboration with architects and analysts to ensure data quality **Responsibilities:** Develop, maintain, and optimize ETL/ELT processes across various platforms (SQL Server, Spark, NoSQL). Migrate data routines and loads from SQL Server to Spark (PySpark). Develop Python scripts and automations. Model and structure data according to best practices for governance and performance. Collaborate with architects, analysts, and testers to ensure data quality and integrity. Support cloud-based data migration and modernization initiatives (GCP). **Requirements:** **Technical Requirements:** Proficiency in ANSI SQL, data modeling, and relational databases. Experience with SQL Server and Spark (PySpark). Knowledge of Python and NoSQL. Understanding of ETL/ELT concepts and data engineering best practices. Experience with GCP. Strong verbal and written communication skills, plus analytical problem-solving ability. **Preferred Qualifications:** Experience with BI tools, especially Qlik (QlikView, Qlik Sense, or Qlik Cloud). Experience in cloud-based data migration and modernization projects. **Desired Profile:** Proactive, analytical, and collaborative professional with technical autonomy and a business-technology integration mindset.