Data Engineer

Description

Job Summary: We are seeking a proactive Senior Data Engineer to model, integrate, and process data by developing efficient and scalable data pipelines. Key Highlights: 1. Independently handle requirements gathering through to pipeline delivery. 2. Collaborate with multidisciplinary teams and support data modernization. 3. Develop, maintain, and optimize ETL/ELT processes and Python scripts. We seek a Senior Data Engineer with solid experience in data modeling, integration, and processing—capable of independently managing the full 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 workloads from SQL Server to Spark (PySpark). Develop Python scripts and automations. Model and structure data according to best practices for governance and performance. Work closely with architects, analysts, and testers to ensure data quality and integrity. Support data migration and modernization initiatives in cloud environments (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, along with 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:** A proactive, analytical, and collaborative professional with technical autonomy and a business-technology integration mindset.