DATA Engineer
hace 3 semanas
Description
At the SEAT:CODE we are constantly looking for talented people willing to join our projects. Our start-up environment is very open-minded, we love to test and implement new ideas. If you think you are ready to enjoy your work and be part of our big family, we invite you to keep reading what we think it could be a good fit for our current needs. We are looking for a DATA Engineer . You will work on a day-to-day basis in squads with talented designers, product owners & software developers to build a scalable and solid product.
The Data Engineer role
Able to manipulate and collect data from different sources for later synthesise and interpret it Apply the proper tools for collating data Expose data from different systems (for example through APIs) Able to recognise and exploit business opportunities to ensure more efficient and effective performance of organisations Develop data services that are fit for purpose, resilient, scalable and future-proof, to meet user needs Help team to achieve their goals and be aligned to business needs.What we offer
Remote (Barcelona province) with occasional visits to Martorell . 2.200 per year in social benefits to choose from (Restaurant, Kindergarden, Health Insurance, pet insurancetc.) 2.000 per year in trainings If you recommend a person and is hired, you have bonus: 3000. Daily Snacks: We try to promote healthy living habits. You will find in our canteen many nuts, fresh fruit, salads, ... Flexible working hours: We understand the importance of work-life balance. Short Fridays Best gear for your needs Sessions to share knowledge among the people in Seat:Code, everybody can attend and everybody can prepare one Discounts in SEAT:MO app to ride in Barcelona. As part of SEAT Group, you have discounts in new cars, renting and a long etcetera.
Minimum requirements
What we are expeting from you
Solid experience working with Python Infra as Code Passionate about big data and its potential for supporting smart decisions Experience with Snowflake Experience with AWS services like Glue and S3 at least. Having worked with Event Bridge, SNS or SQS will be a plus Knowledge on Git Experience on working in an Agile setup Methodical and logical approach along with creativity when approaching a problem Experience working on ensure data quality and validation Able to log, analyse and manage problems to identify and implement the appropriate solution Experiencia with Data Segmentation techniques, Data cleaning and quality, Data transformation and ingestion Work with big amount of data Data buffering tools Excellent written and verbal communication skills including the ability to identify and communicate data driven insights in a clear and effective manner Curiosity and thirst for knowledge Lean thinking Actively pursue improving skills Collaborate with others for learning and achieving goals together Bonus: experience in relevant vertical industries: consumer electronics, automotive, industrial, health Technical bonus experience: knowledge on Devops tools like github actions, serverless, Docker or Kubernettes Fluent in English and/or Spanish.-
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