Senior Analytics Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Develop and uphold data infrastructure centered around dbt modeling, Snowflake optimization, and self-service analytics.

• Create, develop, and sustain dbt models for business intelligence and analytics applications.

• Enhance Snowflake warehouse performance, manage costs, and refine data architecture.

• Construct and manage Omni dashboards, reports, and self-service functionalities for business units.

• Execute data quality checks, monitoring, and governance procedures across all data assets.

• Collaborate closely with analysts and business stakeholders to comprehend requirements and deliver technical solutions.

• Set up best practices for analytics engineering, including code reviews and documentation standards.

• Work in partnership with engineering teams to improve data pipelines and integrate new data sources.

• Oversee and enhance query performance, data model efficiency, and warehouse expenditures.

• Connect technical data infrastructure with business analytics needs while ensuring technical excellence.

⛳️ Requirements

• 7-10 years of experience in analytics engineering, emphasizing business intelligence and data modeling.

• Advanced expertise in dbt, encompassing macros, packages, testing, and deployment.

• Extensive experience with Snowflake, including performance enhancement, cost management, and advanced features.

• Advanced SQL skills for complex query optimization and performance tuning.

• Strong proficiency in Looker, Tableau, or equivalent BI platforms.

• Familiarity with data quality frameworks, testing, monitoring, and documentation standards.

• Proficient in Git workflows, CI/CD processes, and best practices in analytics engineering.

• Experience in constructing enterprise-grade BI solutions and data warehouses.

• Knowledge of AWS, GCP, or Azure data services and cloud-native data tools.

• Proficiency in Python or R for data analysis, automation, and advanced analytics.

• Familiar with Airflow, Fivetran, Stitch, or similar data orchestration tools.

• Understanding of marketing, product, and customer analytics use cases.

• Proven ability to work effectively with distributed teams across various time zones.

• Experience with data observability and monitoring platforms.

• Advanced understanding of warehouse optimization and cost management strategies.

🏝️ Benefits

• Flexible remote work arrangement.

• An environment rich in opportunities for learning, growth, expansion, and engaging projects.

• Autonomy and efficiency in managing every aspect of development.

• Opportunity to collaborate with a team of professionals and specialists.

• Work with state-of-the-art cloud computing technologies.