Python Job: Data Engineer

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Job Skills

Company

Clip

Location

Buenos Aires - Argentina

Job type

Full-Time

Python Job Details

We are looking for a Data Engineer to be part of this amazing and fast – growing fintech and will be part of the team responsible for all of the data in the company used to support and implement Clip's mission. This Data Engineer work will be focused closely with product managers within the Product & Technology department as well as other leaders throughout the company to turn data into critical information and knowledge, he/she needs to be a creative thinker with a strong desire to learn and improve. A successful Data Engineer at Clip would propose innovative ways to look at problems by using data manipulation and engineering techniques, while proving that their projects bring value to the company, and they will directly impact business and product decisions for the future of Clip. This candidate must have strong written and verbal communications skills in both English and Spanish and be willing to continue learning and loving technology.


Key Responsibilities

  • Work as part of a team developing in Python using Agile development methods.
  • Contribute to team and organizational improvements in process and infrastructure.
  • Work in the Data team and with the Architecture and DevOps teams to design and build efficient and fault tolerant data pipelines.
  • Create and populate data lakes and a data warehouse to facilitate data analysis and data science projects.
  • Effectively use tools and ingenuity to identify and fix defects before they become a problem.
  • Invent new things and create world-changing software!

Education Level & Work Experience

B.S. Computer Science or a related degree or equivalent experience.

Minimum of 2-5 years of working with data in various environments.


Technical knowledge

  • Skills and experience in using SQL.
  • Proficient in Python and/or Java.
  • Experience with AWS tools such as Redshift, Athena, Lambda, and Kinesis a plus.
  • Experience with developing data pipelines, data lakes, and data warehousing solutions.
  • Experience with or desire to learn Apache Spark.

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