About the job:
Bayut & dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience.
As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 8 brands, we have more than 160 million monthly users that trust in our dedication to providing them with the best platform for their needs.
The Data Engineer will help deliver world-class big data solutions and drive impact for the dubizzle 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. While working 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.
In this role, you will:
- Raw data integrations with primary and third-party systems
- Data warehouse modeling for operational and application data layers
- Development in Amazon Redshift cluster
- SQL development as part of agile team workflow
- ETL design and implementation in Matillion ETL
- Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, REST Api. etc
- Design and implementation of data products enabling data-driven features or business solutions
- Ensure data quality, system stability and security, and coding standards in SQL, Python, ETL design
- Building data dashboards and advanced visualizations in Periscope Data with a focus on UX, simplicity and usability
- Working with other departments on data products - i.e. product & technology, marketing & growth, finance, core business, advertising and others
- Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
- Be able to work autonomously without supervision on complex projects
- Participate in the regular ETL status check rota
Requirements:
Qualification:
- Top of class technical degree such as computer science, engineering, math, physics
Experience:
- 3+ years of experience working with customer-centric data at big data scale, preferably in an online/e-commerce context
- 2+ years of experience with one or more programming languages, especially Python
- Strong track record in business intelligence solutions, building and scaling data warehouses, and data modeling
- Experience with modern big data ETL tools (e.g., Matillion) is a plus
- Experience with AWS data ecosystem (or other cloud providers)
- Experience with modern data visualization platforms such as Sisense (formerly Periscope Data), Google Data Studio, Tableau, MS Power BI, etc
Knowledge:
- Knowledge of modern real-time data pipelines (e.g., serverless framework, lambda, kinesis, etc.) is a strong plus
- Knowledge of relational and dimensional data models
- Knowledge of terminal operations and Linux workflows
Skills:
- World-class SQL skills across a variety of relational data warehousing technologies, especially in cloud data warehousing (e.g., Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
- Ability to communicate insights and findings to a non-technical audience
- Written and verbal proficiency in English
Traits:
- Attention to detail with strong analytical and conceptual thinking
- Business acumen with entrepreneurial spirit and ability to think creatively
- Highly-driven with a strong curiosity, self motivated and strive for continuous learning
- Thrive in a fast-paced, innovative environment
- Living the team values: Simpler. Better. Faster
