Analytics Engineer II

ensure efficient and accurate data flow from various sources into our Snowflake data

warehouse. Maintain and optimize existing data integration workflows to improve performance and

scalability.

• Data Modeling and Transformation : Develop and maintain data models using dbt / dbt Cloud to transform raw data into

structured, high-quality datasets that meet business requirements. Ensure data consistency and integrity across various datasets and implement data

quality checks.

• Data Warehousing : Manage and optimize our Redshift / Snowflake data warehouses, ensuring it meets

performance, storage, and security requirements. Implement best practices for data warehouse management, including partitioning,

clustering, and indexing.

• Collaboration and Communication : Work closely with data analysts, data scientists, and business stakeholders to

understand data requirements and deliver solutions that meet their needs. Communicate complex technical concepts to non-technical stakeholders in a clear and

concise manner.

• Continuous Improvement : Stay updated with the latest developments in data engineering and analytics tools, and

evaluate their potential to enhance our data infrastructure. Identify and implement opportunities for process improvements, automation, and

optimization within the data pipeline.

Requirements & Skills :

• Education and Experience : Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 3-5 years of experience in data engineering or analytics engineering roles. Experience in AWS and DevOps is a plus.
• Technical Skills : Proficiency with modern ETL tools such as Airbyte and Fivetran. Must have experience with dbt for data modeling and transformation. Extensive experience working with Snowflake or similar cloud data warehouses. Solid understanding of SQL and experience writing complex queries for data extraction and

manipulation. Familiarity with Python or other programming languages used for data engineering tasks.

• Analytical Skills : Strong problem-solving skills and the ability to troubleshoot data-related issues. Ability to understand business requirements and translate them into technical specifications.
• Soft Skills : Excellent communication and collaboration skills. Strong organizational skills and the ability to manage multiple projects simultaneously. Detail-oriented with a focus on data quality and accuracy.

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.