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Data Engineer

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Responsible for designing, building, and maintaining efficient data infrastructures and schedules that enable the collection, transformation, storage, processing, and analysis of large volumes of data in a quick and efficient manner.

Latin America
Full-time
AI & Data

At Elaniin, we're looking for passionate people. You're encouraged to apply even if you think your experience doesn't match all the job requirements. Your skills, passion and integrity will stand out at our company and your career might take some extraordinary twists and turns. People and their diversity is our greatest asset, we welcome different perspectives and people who aren't afraid to challenge the status quo. Join us.

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Data Engineer

Latin America
Full-time
AI & Data
Apply now
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The knowledge in your professional life

  • Data Management: Ensure data integrity and accessibility, implement best practices in data management, integrity, and availability.
  • ETL Process Development: Create flows, extractions from multiple sources and formats (databases, CSV files, APIs, etc.), scheduling of extraction, transformation, and loading tasks to data warehouse or data lake instances.
  • Data Model Management: Build, design, and maintain the logical structures that organize and define the relationships of data. Design data schemas, query optimization, among others.
  • Source Integration: Develop integrations to diverse sources such as SQL and NoSQL databases, files, APIs, etc. To unify and centralize information and make it consumable to different levels of users such as data analysts or Head of Data.

Your skills and requirements

  • Education: Studies in Economics, Computer Science, Statistics, Mathematics, Computer Engineering, related field and/or equivalent experience.
  • Experience: Minimum 3 years of experience with cloud environments for data engineering and/or development related to databases and big data environments.
  • Teamwork: Ability to work in a collaborative and multidisciplinary environment, leading and being part of project teams.
  • Technical Skills: Deep knowledge of programming languages such as Python. Experience with SQL and NoSQL databases. Experience in GCP, BigQuery. Big data environments such as Hadoop and Spark, Kafka.

We look forward to hearing from you

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