Analytics Engineer

Design, build, and maintain trusted, scalable, and well-documented data models and pipelines using modern analytics engineering tools. This role ensures that analysts and business leaders can extract insights efficiently and reliably from clean data layers.

RESPONSIBILITIES

• Data Modeling & Transformation
• Develop and maintain dbt models with standardized naming, structure, and robust documentation.
• Create analytics-ready data marts by transforming raw data into clean, structured datasets.
• Write modular, well-tested, and efficient SQL code to power modeling layers.
• Data Pipeline Development
• Build reliable and scalable data pipelines for ingestion, transformation, and validation.
• Monitor and troubleshoot data pipeline performance, latency, and failures.
• Cross-functional Collaboration
• Work closely with analysts and business stakeholders to translate data requirements into technical solutions.
• Ensure data logic aligns with business definitions and operational context.
• Data Quality & Documentation
• Implement data validation checks and tests to ensure accuracy and trustworthiness.
• Maintain clear documentation of data models, transformation logic, and data lineage.
• Use Git for version control and collaboration best practices.
• Infrastructure Support
• Support data infrastructure maintenance in cloud environments (BigQuery, Redshift, Snowflake).
• Adapt to evolving infrastructure, tools, and processes in a fast-paced environment.

REQUIREMENTS