Snowflake data engineer

Location: Dubai (Hybrid/Onsite as per business requirement)

About the Role

We are seeking a highly skilled Snowflake Data Engineer with 8+ years of experience in designing, developing, and optimizing modern cloud-based data platforms. The ideal candidate should have strong hands‑on expertise in Snowflake, advanced SQL, and cloud data engineering practices, with mandatory experience in Apache Airflow and dbt (Data Build Tool).

The role involves building scalable data pipelines, implementing ELT frameworks, optimizing data models, and supporting enterprise analytics initiatives.

Required Skills

• 8+ years of experience in Data Engineering.
• Strong hands‑on experience with Snowflake.
• Advanced SQL programming and query optimization.
• Mandatory experience with Apache Airflow.
• Mandatory experience with dbt (Data Build Tool).
• Strong understanding of ETL/ELT concepts and modern data engineering practices.
• Experience building and maintaining enterprise‑scale data pipelines.
• Proficiency in Python for data engineering and automation.
• Experience working with Git and version control.
• Good understanding of data modeling techniques (Star Schema, Snowflake Schema, Dimensional Modeling).
• Experience working with structured and semi‑structured data formats such as JSON, Parquet, and Avro.
• Strong analytical, debugging, and problem‑solving skills.

Preferred Skills

• Experience with Azure, AWS, or Google Cloud Platform.
• Exposure to data lake and lakehouse architectures.
• Experience with Azure Data Factory, Fivetran, Informatica, or similar integration tools.
• Knowledge of CI/CD pipelines and DevOps practices.
• Familiarity with Power BI, Tableau, or other BI platforms.
• Understanding of data governance, security, and access management within Snowflake.
• Snowflake certification is an added advantage.