Fulltime Only - Sr. Data Analytics Engineer

Role : Sr. Data Analytics Engineer Location : Remote Key Skills and qualifications: Strong knowledge of SQL, DBT, data modeling techniques, and best practices with experience building sophisticated data models. Experience with DBT required; DBT Core preferred. Understanding of data architecture and best practices, including automation, governance, lineage, and dependency management. Experience with data warehousing solutions (e.g., Redshift, Snowflake, Big Query). Strong experience with Google Sheets and/or Microsoft Excel Experience with ETL tools and frameworks (e.g., Apache Airflow, Airbyte) What You’ll Do: Data Architecture & Modeling: Design and implement data models and architectures using dbt that support efficient data storage, retrieval, availability, analysis, and BI reporting. ETL Development: Develop and maintain ETL (Extract, Transform, Load) processes to ensure data is accurately and efficiently integrated across various systems. Data Warehousing: Build and maintain data warehouses and data lakes to support advanced analytics and reporting needs. Data Analytics & BI Reporting: Develop and maintain BI infrastructure to enable stakeholder analysis and reporting. Performance Optimization: Monitor and optimize the performance of data pipelines and query execution to ensure efficient processing and analysis. Collaboration: Work closely with product managers and other engineers to understand business requirements and translate them into technical solutions. Documentation: Create and maintain detailed documentation of data architectures, processes, and best practices.