Data Engineer

Description

Job Summary: We are seeking a proactive and analytical Senior Data Engineer to independently perform data modeling and integration, ensuring efficient and scalable data pipelines. Key Highlights: 1. Independent execution of requirements gathering and delivery of data pipelines. 2. Collaboration with multidisciplinary teams. 3. Opportunity to work on cloud-based data migration and modernization (GCP). We seek a Senior Data Engineer with solid experience in data modeling, integration, and processing—capable of independently managing the entire data pipeline lifecycle, from requirements gathering to delivery of efficient and scalable data pipelines. The ideal candidate combines analytical skills, technical expertise, and strong communication abilities to collaborate effectively with multidisciplinary teams. **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 scripts and automations in Python. Model and structure data according to best practices for governance and performance. Work collaboratively with architects, analysts, and testers to ensure data quality and integrity. Support initiatives for cloud-based data migration and modernization (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, and analytical ability to solve problems. **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:** A proactive, analytical, and collaborative professional with technical autonomy and a business-technology integration mindset.