Senior Data Engineer (57224)

Description

Job Summary: You will be responsible for developing and maintaining data pipelines in the Azure environment, collaborating with global teams. Key Highlights: 1. Remote and flexible work 2. Collaborative and challenging environment 3. Learning incentive programs For over 25 years, EVT has been a reference in corporate IT solutions, driving digital transformation for its partners and clients. With a highly qualified team, we operate both in developing custom solutions and in staffing specialized professionals within our clients’ organizations. We serve major companies across diverse industries, always focusing on delivering cutting-edge technology, close collaboration, and measurable business value. At EVT, we live our core values daily: Respect, Partnership, Efficiency, Innovation, and Results. This commitment ensures high-quality delivery and long-lasting relationships with our clients and partners. ✨ If you seek a collaborative environment full of career-advancing challenges, join a team that truly values each professional’s talent and dedication! **Opportunity Details:** * **Work Mode:** Remote * **Duration:** Indefinite * **Engagement Model:** Independent Contractor (PJ) **Responsibilities:** The professional will develop and maintain data pipelines in the Azure environment, working with services such as Azure Data Lake, Synapse Analytics, and Blob Storage. They will build and optimize ETL/ELT processes, design and maintain data lakes and data warehouses, ensuring data quality, security, and performance. Day-to-day tasks include using Python and SQL for data automation and manipulation, supporting Power BI dashboard creation and maintenance, and collaborating with global teams with daily communication in English. Requirements: * Solid experience with Azure cloud services, including Azure Data Lake, Azure Synapse Analytics, Azure Blob Storage, and others. * Proficiency in Python and SQL for task automation and data manipulation. * Knowledge of ETL/ELT tools and experience building robust data pipelines. * Experience designing data lakes and data warehouses. * Understanding of data security and regulatory compliance. * Ability to design data models that optimize query and analytical performance. * Experience with DataViz and creating/maintaining Power BI dashboards. * Fluent English for daily communication with global teams. Benefits: * Learning incentive programs (Udemy); * Corporate English classes at affordable rates. **Hiring Process Steps:** * Registration * HR Interview * English Proficiency Assessment * Client/Technical Interview * Contracting Shall we move forward together?