Lead Analytics Engineer

This is a fully remote position, open to applicants in Argentina, +3 more states.

📋 Description

• Develop new analyses and enhance existing ones utilizing SQL and Python.

• Employ software engineering practices such as version control and continuous integration within the analytics codebase.

• Enrich our data warehouse with high-quality data prepared for analysis.

• Implement sophisticated data testing methodologies to ensure that resulting data stores conform to anticipated business logic.

• Establish validation checks and automated testing protocols to oversee data quality in your ETL/ELT pipelines.

• Collaborate with stakeholders to outline business logic and data expectations.

• Propel a shift in data utilization by actively providing insights to stakeholders.

• Lead initiatives in problem definition, scoping, design, and planning.

• Create tools and automation to manage data infrastructure.

• Oversee large-scale data migrations within relational data stores.

⛳️ Requirements

• 8+ years of experience working with data in a software environment.

• Required Skills: Expertise in SQL and Python; extensive experience with business semantic layer tools, data catalog tools, and data integrity testing frameworks. Familiarity with dbt orchestration and best practices is essential.

• A proven history of working independently and proactively, with profound knowledge of data systems.

• Required Tech Stack: SQL, Python, relational data stores, DAG tools (such as Dagster or Airflow), dbt, and Tableau.

• Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less data stores.

🏝️ Benefits

• Comprehensive health and wellness programs.

• Flexible work arrangements and remote work options.

• Opportunities for professional development and continuous learning.

• Collaborative and inclusive work environment.