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\-3 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\+ year 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