Snowflake data engineer

Applycup Hiring Solutions | Recruitment & Staffing Agency; Dubai; On-site; AED 420,000 - 540,000; Full time

Job summary

Applycup Hiring Solutions is seeking a Snowflake Data Engineer in Dubai to design, develop, and optimize cloud-based data platforms. The role requires 8+ years of data engineering experience with strong Snowflake, Airflow, and dbt expertise.

The candidate will build scalable pipelines, implement ELT frameworks, and optimize data models to support enterprise analytics initiatives, with hybrid/on-site work as per business needs.

Qualifications

• 8+ years of experience in Data Engineering.
• Hands-on Snowflake experience.
• 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.

Responsibilities

• Build scalable data pipelines and data models for enterprise analytics.
• Implement ELT frameworks and optimize data flows.
• Collaborate with analytics and BI teams to enable insights.
• Support performance tuning and data platform optimization.

Skills

Snowflake

Airflow

dbt

SQL

Python

Data Pipelines

ETL/ELT

Data Modeling

Git

Cloud Knowledge

Problem Solving

Data Quality

Tools

Git

Job description

Snowflake Data Engineer

Experience: 10+ Years

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.

Key Competencies

• Snowflake
• Apache Airflow
• dbt
• SQL
• Python
• Data Engineering
• ETL/ELT
• Data Modeling
• Performance Optimization