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 modeling, to state-of-the-art data visualization 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 & tech, the core business verticals, trust & safety, finance, and others – to enable them to be successful.

Your Responsibilities

• Design, implement and support data warehousing;
• Raw data integrations with primary and third-party systems
• Data warehouse modeling for operational & 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, etc.
• Design and implementation of data products enabling data-driven features or business solutions
• Building data dashboards and advanced visualizations in Sisense for data cloud teams (formerly 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
• Evaluate and improve data quality by implementing test cases, alerts, and data quality safeguards
• Living the team values: Simpler. Better. Faster.
• Strong desire to learn
  
  
  

Required Minimum Experience (must)

• 1- 2 years experience in data processing, analysis, and problem-solving with large amounts of data;
• Good SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
• 1+ years of experience with one or more programming languages, especially Python
• Ability to communicate insights and findings to a non-technical audience
• Written and verbal proficiency in English
• Entrepreneurial spirit and ability to think creatively; highly-driven and self-motivated; strong curiosity and strive for continuous learning
• Top of class University technical degree such as computer science, engineering, math, physics.
  
  
  

Additional Experience (strong Plus)

• Experience working with customer-centric data at big data-scale, preferably in an online / e-commerce context
• Experience with modern big data ETL tools (e.g. Matillion)
• Experience with AWS data ecosystem (or other cloud providers)
• Track record in business intelligence solutions, building and scaling data warehouses, and data modeling
• Tagging, Tracking, and reporting with Google Analytics 360
• Knowledge of modern real-time data pipelines (e.g. serverless framework, lambda, kinesis, etc.)
• Experience with modern data visualization platforms such as Periscope, Looker, Tableau, Google Data Studio, etc.
• Linux, bash scripting, Javascript, HTML, XML
• Docker Containers and Kubernete