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Data Engineer

Remote: 
Full Remote
Contract: 
Salary: 
67 - 67K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

2-4 years of BIG data development experience, Expertise in complex data pipeline development, Experience with Java, Python or Scala, Proven expertise with Spark, Hive, Kafka, Cloud Technologies experience (GCP, Azure, AWS).

Key responsabilities:

  • Design and develop large-scale data systems
  • Operate real-time data pipelines and analytics
  • Collaborate with engineers and product managers
  • Provide scalable technical solutions
  • Implement and support the data pipelines
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Stefanini LATAM Large https://www.stefanini.com/
10001 Employees
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Job description

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Your missions

JOB DESCRIPTION

Be part of Stefanini!


At Stefanini we are more than 30.000 geniuses, connected from 41 countries, doing what they are passionate about and co-creating a better future.

We are looking for you!


RESPONSIBILITIES AND ASSIGNMENTS

As part of the Data Engineering team, you will be responsible for design, development and operations of large-scale data systems operating at petabytes scale. You will be focusing on real-time data pipelines, streaming analytics, distributed big data and machine learning infrastructure. You will interact with the engineers, product managers, BI developers and architects to provide scalable robust technical solutions.




REQUIREMENTS AND QUALIFICATIONS

Essential Job Functions & Responsibilities:

  • Min 2-4 years of BIG data development experience.
  • Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development.
  • Experience in agile models
  • Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.
  • Experience with Java, Python and/or Scala to write data pipelines and data processing layers
  • Experience in Airflow & Github.
  • English conversational
  • Experience in writing map-reduce jobs.
  • Demonstrates expertise in writing complex, highly-optimized queries across large data sets in HIVE & Spark.
  • Proven, working expertise with Big Data Technologies Spark, Hive, Kafka, BigQuery SQL, HBase.
  • Highly Proficient in SQL.
  • Experience with Cloud Technologies ( GCP, Azure or AWS)
  • Experience with relational model, memory data stores desirable ( Oracle, Cassandra, Druid)
  • Provides and supports the implementation and operations of the data pipelines and analytical solutions
  • Performance tuning experience of systems working with large data sets
  • Experience in REST API data service – Data Consumption
  • Retail experience is a huge plus.

ADDITIONAL INFORMATION

Personal Skills

  • Self-though person.
  • Effective Communication.
  • Experience working under pressure.
  • Teamwork & collaboration.
  • Data story telling & data presentation.
  • Active listening and empathy.
  • Critical thinking & problem solving.
  • Complex problem analysis & resolution.
  • Informed decision-making.
  • Time management & priorization.
  • Flexibility & adaptability.
  • Integrity and honesty.
  • Data ethics & privacy.

 


Conoce a Stefanini

Somos una empresa global con 35 años de experiencia en el mercado, ofrecemos una sólida selección de servicios como: automatización, nube, Internet de las cosas (IoT) y experiencia de usuario (UX).


Creemos que la tecnología puede revolucionar una empresa y la innovación es fundamental para fomentar el desarrollo y la competitividad. También valoramos las nuevas ideas y el poder de una mente abierta, por lo que reconocemos que cada talento es esencial para la calidad de nuestros proyectos y especialmente para nuestro progreso.


Mantenemos nuestra excelencia invirtiendo en innovaciones tecnológicas, las mejores alianzas, adquisiciones de empresas en todo el mundo y la contratación de profesionales altamente capacitados.


Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • Physical Flexibility
  • Time Management
  • Critical Thinking
  • Personal Integrity
  • Active Listening
  • Teamwork

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