As an Associate Data Engineer, you will be participating in exciting projects covering the end-to-end data lifecycle – from raw data integrations with primary and third-party systems, through advanced data modelling, to state-of-the-art data visualisation and development of innovative data products. You will have the opportunity to learn how 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 departments – such as product & technology, core business verticals, trust & safety, finance, and others – to enable them to succeed.
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Responsibilities
- Perform raw data integrations with primary and third-party systems.
- Perform Data warehouse modelling for operational and application data layers.
- Responsible for development in the Amazon Redshift cluster.
- Work on SQL development as part of an agile team workflow.
- Responsible for ETL design and implementation in Matillion ETL.
- Work on real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, REST Api, etc.
- Design and implement data products enabling data-driven features or business solutions.
- Ensure Data quality, system stability and security.
- Maintain coding standards in SQL, Python, and ETL design.
- Build data dashboards and advanced visualisations in Periscope Data with a focus on UX, simplicity and usability.
- Work with other departments on data products – i.e. product & technology, marketing & growth, finance, core business, advertising and others.
- Be part of and contribute to a strong team culture and an ambition to be on the cutting edge of big data.
- Participate in the early morning ETL status check rota.
- Be a team player by taking ownership of tasks assigned to you and working on them.
- Have end-to-end project ownership and manage stakeholders for the same.
Requirements
- A top-ranking academic background in a technical discipline such as computer science, engineering, mathematics, or physics.
- 2+ years of experience working with customer-centric data at big data-scale, preferably in an online / e-commerce context.
- 1+ years of experience with one or more programming languages, especially Python and SQL.
- Experience working with a modern big data warehouse with ETL and data visualisation.
- Knowledge of relational and dimensional data models.
- Knowledge of terminal operations and Linux workflows.
- Good knowledge of SQL 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.
- Highly driven and self-motivated.
- Entrepreneurial spirit and ability to think creatively; strong curiosity and a striving for continuous learning.
- Thrive in a fast-paced, innovative environment.
- Living the team values: Simpler. Better. Faster.
Benefits
- A fast paced, high performing team.
- Multicultural environment with over 60 different nationalities.
- Competitive Tax-free Salary.
- Comprehensive Health Insurance.
- Annual Air Ticket Allowance.
- Employee discounts at multiple vendors across the emirates.
- Rewards & Recognitions.
- Learning & Development.
Location
Dubai, United Arab Emirates
