Data Analytics Engineer

Role Overview

We are seeking a skilled and motivated Data Analytics Engineer to join our growing data

team. This role is ideal for someone with a strong foundation in SQL, experience using Sigma

Computing, and a deep understanding of Snowflake. You will work closely with

cross-functional teams to design and implement scalable data models and build insightful

dashboards that drive strategic business decisions.

Key Responsibilities

● Design scalable and efficient data models that align with business goals and growth

needs.

● Architect robust data storage and processing pipelines for structured and unstructured

data.

● Manage, tune, and optimize the Snowflake data warehouse for performance, cost

efficiency, and scalability.

● Collaborate with business teams to design and deliver interactive dashboards and

reports using Sigma Computing.

● Ensure high data quality, consistency, and governance across all analytics processes.

● Work cross-functionally with engineering, product, and business stakeholders to

translate data needs into actionable insights.

Required Skills & Experience

● Proven experience in writing complex and optimized SQL queries.

● Strong hands-on experience with Snowflake and understanding of its architecture and performance tuning.

● Experience building data visualizations and reports using Sigma Computing.

● Solid understanding of data warehousing concepts, dimensional modeling, and analytics architecture.

● Ability to work with large datasets and make data accessible, usable, and insightful.

● Familiarity with data governance, security, and access control best practices.

● Excellent problem-solving, communication, and analytical skills.

● Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Must Have Qualifications

● Solid experience in writing and optimizing complex SQL queries.

● Proficiency with at least one modern BI tool (e.g., Sigma Computing, Tableau, Looker, or Power BI).

● Exposure to Python for data transformations or automation.

● Familiarity with cloud data platforms such as Snowflake, Databricks, Google Cloud Platform (GCP), or Amazon Redshift.

● Strong analytical and critical thinking skills.

● Good communication skills and the ability to work cross-functionally.

Why Join Us?

● Competitive salary and performance bonuses.

● Remote-friendly work culture.

● Opportunity to work on cutting-edge tech in AI and ML.

● Collaborative, high-growth startup environment.