Data Engineer

Role Overview

Join a leading company in Customer Science and Marketing Automation as a Data Engineer to participate in a strategic project to diagnose, define functional and technical design of a marketing architecture, data and customer activation.

What You Will Do

Perform functional and technical analysis of the current data and marketing architecture, analyze sources, data flows, transactional and digital events, integrations and existing activation processes, and design a target architecture oriented to optimize customer interactions and exploit commercial opportunities.

Why It Might Be a Fit

We offer participation in innovative Data, AI and Advanced Analytics projects with real impact on business, professional career and continuous training, good work environment and work with specialized teams, flexible remuneration, and a hybrid work model.

Requirements

• Experience in data architecture, technological consulting or definition of analytical platforms
• Experience in banking, insurance or financial services environments
• Knowledge of Google Cloud Platform, especially BigQuery
• Advanced knowledge of SQL and knowledge of Python, oriented to analysis and understanding of data flows
• Experience in integration through APIs and analysis of data flows between platforms
• Knowledge of data modeling, ingestion, transformation, CDC, quality and data governance
• Knowledge of decision architectures, business rules, rule engines and NBA/Next Best Action models
• High level of interlocution and ability to create technical documentation and executive presentations

Benefits

• Flexible remuneration
• Hybrid work model (2 days in office)
• Flexible schedule and intensive work on Fridays, July and August
• Access to training platforms

Tagged as: BigQuery, Python, SQL