Senior Data Engineer - OLX Lebanon

Dubizzle Mena

As a Senior Data Engineer, you will help deliver world-class big data solutions and drive impact for the OLX business. You will be responsible for exciting projects covering the end-to-end data life cycle from raw data integrations with primary and third-party systems, through advanced data modeling, to state-of-the-art data visualization and development of innovative data products.

You will have the opportunity to build and work with both batch and real-time data processing pipelines. You will work in a modern cloud-based data warehousing environment alongside a team of diverse, intense and interesting co-workers. You will liaise with other teams such as product & tech, the core business verticals, trust & safety, finance and others to enable them to be successful.

• Design and maintain data warehouse models for operational and application data layers.
• Integrate raw data from primary and third-party systems.
• Develop and optimize SQL queries and scripts.
• Design and implement ETL processes.
• Build real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, and API Gateway.
• Design and implement data products that enable data-driven features and business solutions.
• Build data dashboards and advanced visualizations using Periscope Data or other tools, with a strong focus on UX, simplicity, and usability.
• Ensure data quality, accuracy, and overall system stability.
• Apply and maintain coding standards in SQL, Python, and ETL design.
• Collaborate with cross-functional teams on data products, including product and technology, marketing and growth, finance, core business, advertising, and others.
• Contribute to building a strong team culture with an ambition to remain at the forefront of big data technologies.
• Continuously research current and emerging technologies and propose improvements where appropriate.
• Take responsibility for data quality and the timely delivery of KPIs and reports that provide clear and actionable business insights.
• Monitor and optimize the cost and efficiency of technical solutions.
• Work autonomously while supervising, reviewing, and supporting other team members technical work.
• Proactively engage with the manager and team members to communicate progress on current sprints and the roadmap.