Data Engineer, Mid-level

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BIP Brasil

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

Consulting • Financial Services • Technology

BIP Brasil is an international consulting firm that drives significant transformation through a personalized approach, fostering a maker culture and pioneering spirit in a constantly changing environment. They support major players in various sectors with transformation projects, and their extensive expertise includes risk management, technology implementation, and supply chain innovations across multiple industries.

📋 Description

• Develop and maintain ETL/ELT processes to integrate data from multiple systems. • Design analytical data stores for consumption in Power BI and other analytics tools. • Build scalable, high-performance, and maintainable data models. • Create executive dashboards, metrics, and KPI frameworks. • Perform complex analyses to identify inconsistencies, integration failures, and data quality issues. • Investigate root causes of discrepancies between systems and propose corrective actions. • Work with large volumes of data, complex relationships, and performance optimization. • Implement transformations using SQL, Power Query, and Python when necessary. • Work on the semantic layer using Azure Analysis Services (when applicable). • Participate in defining data architecture and modeling best practices. • Document processes, business rules, data flows, and analytical models. • Collaborate with multidisciplinary teams on strategic Analytics and Business Intelligence projects. • Support less experienced colleagues by sharing knowledge and best practices.

🎯 Requirements

• Education: Bachelor’s degree completed — candidates from all fields are welcome. • Solid experience in Data Engineering and Business Intelligence. • Advanced SQL. • Experience developing ETL/ELT processes. • Knowledge of Terraform for infrastructure deployment. • Dimensional modeling (Star Schema and Snowflake). • Experience with Power BI. • Development of transformations using Power Query. • Knowledge of Python for automation and data processing. • Version control using Git. • Knowledge of data warehouse modeling and design. • Experience working with large data volumes. • Ability to analyze inconsistencies and troubleshoot data pipelines. • Good technical and functional documentation skills. • Ability to suggest new approaches, whether technical or technological, to evolve BI and data engineering practices and add value to users and clients. • Analytical mindset. • Excellent problem-solving skills. • Good communication with technical and business areas. • Comfortable working in multidisciplinary teams. • Organized and able to prioritize. • Ability to lead technical discussions. • Proactive and autonomous. • Focus on quality and continuous improvement.

🏖️ Benefits

• All Points (points program for flights and accommodations); • Medical insurance; • Dental insurance; • Life insurance; • Pet care plan; • Mobility (including fuel option and Uber, 99); • Flex Reimbursement (glasses, vaccinations, education, events, and more); • Meal allowance and/or food voucher; • Birthday off; • Gympass; • Financial advisory and facilitated loans; • Alelo Club with various discounts in stores and pharmacies; • 180 days maternity leave; • 30 days paternity leave; • Childcare assistance during the baby’s first year; • Transportation allowance according to project or area needs; • Annual bonus program; • Commission for referring new clients.