Senior Data Engineering Analyst

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Inmetrics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2002

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Inmetrics is a Brazilian technology consulting firm that specializes in digital efficiency and automation. With over 20 years of experience, it provides services such as quality engineering, performance testing, and cloud solutions, effectively integrating artificial intelligence across all its offerings. The company partners with various industries, ranging from banking to retail, ensuring that organizations optimize their operations and enhance their results through digital innovations.

📋 Description

• Technical leadership: provide technical leadership for the team, overseeing control, administration, and the definition of data methods and models. • Data management: support the management of databases, contributing to the definition of attributes, naming standards, and operational procedures. • Projects and automation: lead the technical development of data manipulation and automation projects, focusing on insight extraction and operational efficiency. • Security and integrity: ensure the security, integrity, and reliability of databases, maintaining compliance with policies and best practices. • Migration and modernization: migrate existing data pipelines to new pipelines on Google Cloud Platform (GCP), ensuring scalability and performance. • Automation and scripting: develop and maintain Python scripts to automate ETL/ELT processes. • Cloud infrastructure: manage and monitor data infrastructure in cloud environments, using tools such as Terraform. • Architecture and performance: design and implement scalable, high-performance data storage, processing, and analytics solutions. • Best practices and collaboration: collaborate with the Data Engineering team to define and apply best practices in architecture, governance, and observability. • Quality and documentation: ensure data quality, security, and integrity, and document implemented processes and solutions.

🎯 Requirements

• Register variables within a decision engine based on data mapped from the engine's input endpoints for use in credit, anti-fraud, and other policies. • Create policies within a decision engine based on backtest studies provided by Equifax Analytics. • Transcribe rules into a decision engine from credit, anti-fraud, and other policies provided by Equifax clients. • Handle structured and semi-structured data in cloud environments such as GCP BigQuery, BigTable, or similar. • Create dashboards or static reports. • Develop user interfaces to connect to decision engines (web, chatbot, etc.).

🏖️ Benefits

• Bradesco Health Plan (30% co-pay) • Bradesco Dental Plan (no employee contribution) • Life insurance • Wellhub (Gympass) • Childcare allowance • Special needs child allowance • Payroll loan • Private pension plan • Pet benefit • SESC membership • Conexa telemedicine • Cost assistance • Meal / food allowance • Multi-benefits card • Medical plan upgrade • Extended maternity and paternity leave • Pregnancy support program • Birth kit and the book "Acontecia quando eu nascia" • Professional development: courses available through the internal university • 100% remote or hybrid, depending on project applicability.