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Data Engineer

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Kencko is a Smart Food company that helps health-conscious consumers effortlessly and affordably eat healthier. We do that by transforming fresh organic fruit & veg into convenient products that are hassle-free to consume while preserving all the goodness of freshly harvested produce. Our Mission: at Kencko we believe that eating healthy should be dictated not by lifestyle, but by choice. We believe that high-quality nutritious fruit & veg should be available anytime, anywhere, in any shape or format, and be delicious. Always.

Who you are:
You're a data engineer with extensive experience designing, implementing data solutions for various business challenges, and leading database and data warehousing initiatives. You're motivated to enable and collaboration with engineering, data science, machine learning, and product teams to take on the most challenging business needs of a hyper-growth business.

What you’ll do: 
• Build well-structured data models, using the right tool for the job
• Implement systems tracking data quality and consistency
• Develop tools supporting self-service data pipeline management (ETL)
• Provide analysts and data scientists with technical support related to data modeling
• Work closely with infrastructure teams on design and implementation of data solutions
• Work with various team and executive stakeholders to define mission-critical metrics and key performance indicators (KPIs)
• Drive training on metrics and self-service data platforms to enable a stronger data culture
• Own and provide BI development tools for internal use
• Help implement and maintain a comprehensive data dictionary

Main requirements

• We are after individuals who are highly motivated, intelligent, and have a great track record. In addition to strong analytical and quantitative skills, you should have:
4+ years functional experience in a data engineering or business intelligence role
• Proficient in data modeling and systems design skills
• Proficient in any flavor of SQL
• Proficient in at least one scripting language (ideally Python)
• Experience with BigQuery
• Experience building and maintaining robust ETL pipelines
• Experience with version control with Git or other VCS
• Excellent written and verbal communication skills
• Proven ability to collaborate with data scientists and software engineers, as well as with non-technical business users

Nice to have

• Experience with Google Cloud Service and/or AWS
• Experience with Apache Airflow, Spark
• Experience in at least one BI platforms (Looker, Tableau, Mode)


• Competitive salary
• Stock options 
• A casual, dynamic, ambitious, and fun work environment
• Health dental, and vision insurance
• English or Portuguese language courses 
• Open vacation policy
• Lots of responsibility
Pixel tracking

Big Data
Entre € 30,000
e € 50,000

Contrato:Contrato permanente
Categoria:Sistemas de informação

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