
Real job — pulled straight from Snoonu’s careers page · Verified October 13, 2026 · No reposts.
Job description
Snoonu is hiring a Data Engineer — a full-time, based in Doha, Qatar role. Apply directly on Snoonu's careers page below.
Middle Analytics Engineer
Location: Doha, Qatar
Department: Data Engineering
Experience: 3+
- Enterprise Mart Development & DE Support: Partnering with the Data Engineering team to develop, maintain, and optimize reliable core transformation layers and Enterprise Data Marts in dbt.
- Application Marts Support: Help developers with performance (schedules) or logic-related questions regarding marts or views extracted by application.
- Data Conformation: Work on common presentation of marts or dimensions for new services to match old ones.
- Data Quality & Support: Supporting BI and downstream teams by ensuring the core data marts are accurate, troubleshooting data discrepancies.
- Pipeline Optimization: Helping migrate legacy transformation logic into cleaner, modular dbt. Optimize performance using incremental materialization.
- Data Governance & Contracts: Helping establish clear data contracts, metadata documentation, and schema enforcement so downstream teams understand how to use the enterprise marts safely.
- Strong dbt Knowledge & Experience: Practical experience building and maintaining complex dbt projects, including code modularization, macros, merge strategies. Strong depth in this area is highly beneficial.
- Proficient SQL & Enterprise Data Modeling: Solid command of advanced SQL (window functions, CTEs) and a strong understanding of relational and dimensional data modeling concepts specifically tailored for core Enterprise Data Marts.
- Self-Directed Data Discovery & Exploration: Highly autonomous in investigating unknown or messy raw data structures (such as semi-structured JSON or event logs). Able to "reverse engineer" existing code and schemas to understand data lineage and context independently, without relying heavily on developer support.
- Performance & Cost Optimization: Good understanding of cloud database tuning, including optimizing query performance, partitioning, and clustering within modern query engines to manage warehouse compute costs.
- Databricks Ecosystem: Familiarity or hands-on experience with the Databricks platform and Delta Tables is highly beneficial, as it is a core part of our modern stack.
- AI-Assisted Development: Experience using AI tools (e.g., GitHub Copilot, ChatGPT, or Cursor) to speed up data profiling, write boilerplate code, and automate documentation.
- Cloud Data Warehouses: Hands-on experience working with cloud data platforms, specifically Google BigQuery.
- Engineering & CI/CD Best Practices: Strong understanding of version control (Git) and how code moves through automated testing and deployment pipelines (CI/CD).
- Semantic Modeling Awareness: Understanding of semantic modeling, metric management, or downstream business-specific data marts is a plus, though your main focus remains on the enterprise layer.
- Data Warehouse & Lakehouse: GCP (BigQuery), Databricks (Delta Tables)
- Transformation & Governance: dbt
- Ingestion & Streaming: AWS message brokers, Batch/Streaming pipelines
- Orchestration: Airflow / Workflow management systems
- BI & Visualization: Tableau, Redash
- Development: Git, AI coding assistants, CI/CD pipelines
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Frequently asked questions
What skills are required for Data Engineer at Snoonu?
The required skills for Data Engineer at Snoonu include: Python, SQL, dbt, Airflow, AWS, GCP, Databricks, Spark, CloudFormation, BigQuery, Tableau.
What is the seniority level for Data Engineer at Snoonu?
Data Engineer at Snoonu is a Mid Level level position.
How do I apply for Data Engineer at Snoonu?
You can view the full description and apply for Data Engineer at Snoonu on EchoJobs: https://echojobs.io/job/snoonu-middle-data-engineer-cghnw.