Analytics Engineer – Distributed Cloud

About the role

As an Analytics Engineer focused on Distributed Cloud, you will design, develop, and maintain scalable data models that support business intelligence, analytics, and reporting across cloud platforms.

Key responsibilities

• Design, develop, and maintain scalable data models for BI and analytics.
• Build, optimize, and maintain ETL/ELT pipelines to transform raw data into trusted analytical datasets.
• Develop and maintain data warehouse and data lake solutions on AWS, Azure, or Google Cloud Platform.
• Implement dimensional and semantic data models to enable self‑service analytics.
• Ensure data quality, consistency, and governance through testing, validation, and documentation.
• Collaborate with Data Engineers, Data Scientists, Business Analysts, and Product teams to deliver high‑quality data products.
• Optimize SQL queries, data transformations, and reporting layers for performance and scalability.

Required profile

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
• 3+ years of experience in analytics engineering, data engineering, or business intelligence.
• Strong analytical and problem‑solving skills with the ability to understand complex business requirements.
• Excellent communication skills for working with both technical and non‑technical stakeholders.

Required skills

• SQL and data modeling concepts.
• Design and implementation of ETL/ELT pipelines.
• Dimensional modeling techniques (Star Schema, Snowflake, Data Vault, etc.).
• Experience with cloud‑based data platforms (AWS, Microsoft Azure, Google Cloud Platform).
• Version control systems such as Git.