Analytics Engineer - Remote

Overview

We are seeking a highly motivated and skilled Analytics Engineer to join our dynamic data team. The ideal candidate will possess a strong background in data engineering and analytics, with hands-on experience in modern analytics tools such as Airbyte, Fivetran, dbt, Snowflake, Airflow, etc. This role will be pivotal in transforming raw data into valuable insights, ensuring data integrity, and optimizing our data infrastructure to support the organization's data platform.

In Short

• Design, implement, and manage ETL pipelines using tools like Airbyte and Fivetran.
• Maintain and optimize existing data integration workflows.
• Develop and maintain data models using dbt / dbt Cloud.
• Ensure data consistency and integrity across various datasets.
• Manage and optimize our Redshift / Snowflake data warehouses.
• Work closely with data analysts, data scientists, and business stakeholders.
• Stay updated with the latest developments in data engineering and analytics tools.
• Identify and implement opportunities for process improvements.

Requirements

• 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.
• 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.
• Familiarity with Python or other programming languages used for data engineering tasks.
• Strong problem-solving skills and the ability to troubleshoot data-related issues.
• Excellent communication and collaboration skills.

Benefits

• Diverse and inclusive work culture.
• Learning opportunities and career growth.
• Supportive team environment.
• Opportunity to work with leading-edge technologies.