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Job Description
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Overview
We’re seeking a Data Engineer to design, build, and maintain the data infrastructure that underpins our analytics, ML models, and decision-making processes. You’ll be responsible for building scalable data pipelines, integrating diverse data sources, and ensuring data quality, reliability, and accessibility across the organization. Working closely with data scientists, analysts, and product teams, you’ll enable data-driven insights while optimizing for performance and scalability. This is a great opportunity to have a direct impact on how data is leveraged across a fast-growing company.
Roles & Responsibilities
- Design, build, and maintain scalable and reliable data pipelines to support analytics, ML models, and business reporting.
- Collaborate with data scientists and analysts to ensure data is available, clean, and optimized for downstream use.
- Implement data quality checks, monitoring, and validation processes.
- Design efficient ETL/ELT workflows and integrate multiple data sources (databases, APIs, third-party tools) into centralized storage (data lakes/warehouses).
- Support cloud-based infrastructure for data storage and retrieval.
- Monitor, troubleshoot, and optimize existing pipelines for large-scale, real-time data flows.
- Apply best practices for query optimization and cost-efficient storage.
- Partner with product, engineering, and business stakeholders to gather requirements.
- Document workflows, schemas, and processes while supporting a culture of reliability, governance, and security.
Requirements:
- Proficiency in Python and SQL for data engineering tasks.
- Strong understanding of ETL/ELT processes, data warehousing, and data modeling.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and data storage solutions (BigQuery, Redshift, Snowflake, etc.).
- Familiarity with data orchestration tools Airflow, Airbyte is a must.
- Experience with containerization & deployment tools (Docker, Kubernetes) is a plus.
- Knowledge of data governance, security, and best practices for handling sensitive data. Familiarity to work with Git and GitHub.
- Dataform is a must.
- Strong skills in eliciting requirements from cross-functional stakeholders and translating them into actionable data engineering tasks.
Experience:
- Preferably total 4 years of experience
- 2+ years in data engineering, building and maintaining data pipelines.
- 2+ years of SQL and Python development in production environments.
- Experience working in fast-growing startup environments is a plus.
- Exposure to real-time data processing frameworks (Kafka, Spark, Flink) is a plus.
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Soum (operating at soum.sa) is a C2C marketplace platform engineered for buying and selling used electronic devices and other goods. Founded in 2021 by Bader and headquartered in Riyadh, Soum empowers users to buy and sell from the comfort of their own homes, ensuring a simple and secure process. Under the hood, Soum's online platform connects buyers and sellers, allowing customers to purchase and sell used electronics with confidence. This allows users to buy and sell used electronic devices with ease, backed by a 10-day warranty. Soum has secured $18 million in a series A funding round led by Jahez, with participation from other investors.
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