Senior Data Engineer

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🕒 June 9

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v(dev)

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🛍️ eCommerce

☁️ SaaS

B2B • eCommerce • SaaS

v(dev) is a company that creates digital solutions designed to transform and enhance business management for its clients. As part of the Grupo Visagio, v(dev) focuses on developing high-impact digital products tailored to meet their clients' specific needs. Their approach combines strong technological expertise with business insight, allowing them to deliver customized and innovative solutions. v(dev) has a robust presence across various sectors, with successful cases in system development for some of Brazil's leading organizations.

📋 Description

• Be able to work on a project without a predefined scope, supporting scope design and prioritization, ensuring timely and high-quality deliveries • Serve as a reference for decision-making regarding the design of solutions to be implemented • Support the team in organizing activities and resolving issues • Provide technical training to the team and support the personal development of each team member • Work on modeling, collection, cleansing, and transformation of data from various sources • Support the definition and implementation of data architectures that meet clients' needs • Participate in the creation and optimization of databases, data lakes, and data warehouses • Support the creation and maintenance of data pipelines using ETL/ELT tools and workflow orchestration for data processing • Propose strategies and tools for monitoring performance and data quality • Collaborate with multidisciplinary teams to understand and meet business data needs • Ensure development best practices, adhering to internal guidelines and standards of v(dev) and the client • Mentor and technically develop the team, assisting with problem resolution

🎯 Requirements

• Solid knowledge of ETL/ELT tools (e.g., Databricks) • Previous experience with Spark, Airflow, and Delta Lake • Experience with code architecture (e.g., Clean Architecture, Hexagonal Architecture) • Hands-on experience with automated workflows (CI/CD) • Previous experience with data architecture • Experience with cloud platforms (GCP, Azure, or AWS) and their services

🏖️ Benefits

• Diversity and Inclusion • Professional growth in a dynamic environment