Senior Data Analytics Engineer

🔥 0 minutes ago

🗣️🇷🇺 Russian Required

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Logo of Bonapolia

Bonapolia

11 - 50 employees

Founded 2018

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Bonapolia is a recruitment and talent-matching firm focused on connecting candidates with technology and engineering roles through a candidate-centric, client-partner approach. The company operates a global, largely remote job marketplace and offers career counseling, interview coordination, and relocation support (notably to Portugal) while building long-term relationships with clients to deliver hired talent efficiently. Bonapolia emphasizes scalable boutique recruitment services, training support for employees, and a streamlined application/connect process for job seekers.

📋 Description

• Gather and clarify requirements from analytics, finance, and business stakeholders. • Design and evolve DWH architecture, including ODS and Data Marts, with audit requirements in mind. • Develop and maintain financial data pipelines. • Design, implement, and support incremental data processing pipelines. • Develop and optimize data marts in cloud data warehouse environments. • Analyze source systems and design end-to-end data flows. • Maintain and enhance workflow orchestration processes. • Participate in testing, data validation, and release activities. • Investigate data quality issues and financial discrepancies. • Maintain technical documentation required for audit and data governance processes.

🎯 Requirements

• 3+ years of experience as an Analytics Engineer, DWH Engineer, or Data Analyst working with data warehouses. • Hands-on experience with enterprise data warehouses. • Strong understanding of DWH architecture and data layers, including ODS and Data Marts. • Knowledge of incremental data loading, historical data handling, and deduplication techniques. • Strong SQL skills. • Experience designing and optimizing data marts. • Experience with cloud data warehouse platforms, including partitioning, clustering, and cost optimization. • Experience with workflow orchestration tools. • Ability to work with stakeholders and translate business requirements into data solutions. • Basic Python knowledge. • Git proficiency. • Experience with Data Quality, Data Governance, and SLA management.

🏖️ Benefits

• Flexible working arrangements • Professional development opportunities

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