Data Engineer - Data Quality - FARFETCH

IN Delhi NCR
26 Jan 2022
25 Feb 2022
Full Time
The role:

Taking part in the Data Quality team, this position will require you to have excellent engineering skills, be creative and a self starter. You will be responsible for implementing and evolving data quality tools and methodologies, acting as a key driver to resolution and prevention of issues, improving and standardising the way all data producers implement data quality checks so that the data products meet the established standards of quality including reliability, usability and performance.

The DQ Engineer will also contribute to inspire the Data Quality culture and mindset across the company: communicating, providing guidelines and processes to the teams, supporting the Data Strategy and one of Farfetch's strategic pillars: Fashion Meets Data.

What you will do

    • Work on data engineering challenges that arise from Farfetch's scale and data g rowth.
    • You will be accountable for implementing and evolving the Data Quality Tool (Great Expectation) to identify issues and possible anomalies, and implement dashboards to measure KPIs and performs data validation.
    • You will evolve data models & schema design of our data warehouse to support the engagement of all teams on Data Quality and create reports to leverage the DQ SLO's commitment between all the teams in the company.
    • You will be a keen advocate of quality and continuous improvement.
    • Build great relationships with analysts to and other engineering teams - acting as a partner on analysing issues and bringing automated solutions for them.
    • Contribute to the creation of quality assurance standards, policies and procedures to influence the DQ mindset across the company.
    • Work in an agile fashion, and deliver on time and accurately.

Who you are

    • Minimum 2 years of experience working with Data Engineering.
    • You have experience in building and maintaining data pipelines.
    • You can productionise your code, but also know that something done is better than something perfect, and iterate over time to improve it.
    • You have experience in creating and evolving dimensional data models & schema designs to improve accessibility of data and provide intuitive analytics.
    • You have Experience with BI and data visualisation tools (e.g., Looker, Tableau, etc.) is preferred.
    • You can write SQL in your sleep!
    • You have experience in a cloud environment
    • You have experience in continuous delivery principles: version control, unit and automated tests;
    • You have skills in programming languages, preferably Python.
    • You have good analytical and problem solving skills, the ability to work in a fast moving operational environment and you are enthusiastic and with a positive attitude.
    • An individual that can change directions quickly to respond to new information and changing circumstances.
    • Fluent in English

    • It would be a plus:
    • Knowledge of tools, concepts and methodologies of QA
    • Previous experience implementing Data Quality tools, for instance: Informatica, Talend, Dequu, Great Expectations etc.
    • Experience with QA in the Data world: Quality inspection, auditing and testing
    • Certifications in one of these areas would be a plus: Quality Auditor, Quality Engineer, Quality Improvement Associate, Six Sigma

We are looking for a Data Quality Engineer who will implement and improve the Data Quality tools, so that we support the company to meet higher standards of quality including reliability, usability and performance and empower Farfetch on making data driven decisions.${description2}

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