Data Engineer

Reposted 25 Days Ago
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Buenos Aires, Ciudad Autónoma de Buenos Aires
In-Office
Senior level
Insurance
The Role
The Data Engineer designs and builds data pipelines, optimizes big data ecosystems, and supports data science projects through collaboration and problem-solving.
Summary Generated by Built In
  • Gains a thorough understanding of the requirements and ensure that work product aligns with customer requirements
  • Works within the established development guidelines, standards, methodologies, and naming conventions
  • Builds processes to ingest, process and store massive amount of data
  • Assists with optimization the performance of bigdata ecosystems
  • Wrangles data in support of data science projects
  • Performs productionization of ML and statistical models for Data Scientists & Statisticians
  • Constructs, tests and maintains scalable data solutions for structured and unstructured data to support reporting, analytics, ML and AI
  • Assists with research and building of proof of concepts to test out theories recommended by Senior and Lead Data Engineers
  • Collaborates and contributes in identifying project risks, design mitigation plans, develops estimates
  • Contributes to the design, development of data-pipelines, and feature engineering of data solutions
  • Established processes or methods are still relied on however Data Engineer will be required to come up with creative solutions to problems. Senior teammates are still needed to provide oversight on solutions to complex problems.
     

    Requirements:

  • Experience: Minimum of 5 years of proven experience as a Data Engineer or in a similar role.
  • Robust Technical Skills in:
    • Microsoft Data Factory: Solid experience in designing and building data pipelines.
    • Azure Data Lake: Deep understanding of storing and managing data at scale.
    • Azure: Hands-on experience within the Microsoft Azure data services ecosystem.
    • Databricks: Proficiency in using the Databricks platform for data processing and solution development.
    • Python: Advanced proficiency in Python for data engineering, scripting, and application development.
    • SQL: Advanced experience with SQL for manipulating, querying, and optimizing relational databases.
  • Problem-Solving Mindset: Demonstrated ability to approach and solve complex challenges with a solution-oriented focus.
  • Inquisitive Mindset & Continuous Learning: A constant desire to explore new technologies, methodologies, and enhance skills.
  • Excellent Communication Skills: Ability to communicate clearly and effectively with technical team members and non-technical stakeholders.
  • Ability to work both independently and as part of a collaborative team.

Top Skills

Azure
Azure Data Lake
Databricks
Microsoft Data Factory
Python
SQL
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The Company
HQ: Atlanta, GA
0 Employees

What We Do

We work with the world’s top brands to make smart devices simpler. Vehicles last longer. Homes more secure. Problems easier to solve. And we volunteer in communities all over the globe to help the world become a greener, better place. We come from a variety of countries, cultures, and backgrounds. But we’re united by our enduring values of common sense, common decency, uncommon thinking, and uncommon results. So connect with us. Bring us your best work and your brightest ideas. And we’ll bring you a place where you can thrive.

We protect and secure:

62 million mobile devices
54 million motor vehicles
102 million household valuables, appliances, and electronics
31 million mortgages
55 million travelers and credit card holders

And that's just the beginning.

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