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Data Engineer

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
Brazil, Mexico, Latin America

Offer summary

Qualifications:

At least 5 years as a Data Engineer, Strong object-oriented programming skills in Python, Java or Scala, Experience with cloud platforms (GCP, AWS), Familiarity with BigQuery or similar databases, Proficient in building ETL data pipelines.

Key responsabilities:

  • Design, develop, and maintain high-performance data infrastructure
  • Build reliable services and APIs for data interactions
  • Develop tools to automate data engineering processes
  • Collaborate with cross-functional teams on data product development
  • Mentor team members and innovate the data space
NIR-YU logo
NIR-YU Human Resources, Staffing & Recruiting Scaleup https://nir-yu.com/
201 - 500 Employees
About NIR-YU
Nir-Yu specializes in helping Small and Medium Enterprises unlock the potential of their business. Our typical customer is worried about not being able to make enough progress on their product(s) or project(s) with their current team; they need additional team-members to deliver work on-time and with the required quality. Tight budgets also make it necessary to lower average wage costs, making it necessary to consider hiring internationally to lower costs. We help these companies by providing a bespoke service that finds and hires remote workers from Mexico, Colombia, Argentina, Chile, Brazil and other countries in LatAm based on the company’s specific job descriptions to work as an extension of their team and perform the required functions. Unlike many other companies, we don’t have a bench of contractors to be hired out, instead each team is hired specifically to meet specific requirements and to work exclusively as a remote employee.
See more NIR-YU offers

Job description

The Role:

We are seeking a highly motivated and experienced Data Engineer to join our Data Engineering team. In this role, you will be at the forefront of designing and developing scalable, robust data architectures and solutions utilizing the latest technologies from Google Cloud Platform (GCP) and AWS. You will collaborate closely with cross-functional teams to understand their data needs and will focus on building, optimizing and scaling data platform solutions that drive insights for marketing strategies, personalization efforts and operational efficiencies. As a senior member of the team, you will work closely with data scientists, machine learning engineers, data analysts and cross-functional teams, playing a critical role in shaping the company's data architecture.


Responsibilities:

  • Design, develop, and maintain scalable, high-performance data infrastructure to support the collection, storage, and processing of large datasets in real time and batch modes.
  • Build reliable, reusable services and APIs that allow teams to interact with the data platform for ingestion, transformation, and querying of data.
  • Develop internal tools and frameworks to automate and streamline data engineering processes.
  • Collaborate with senior management, product management, and other engineers in the development of data products
  • Develop tools to monitor, debug, and analyze data pipelines
  • Design and implement data schemas and models that can scale
  • Mentor team members to build the company's overall expertise
  • Work to make our company an innovator in the space by bringing passion and new ideas to work every day

Requirements:

  • At least 5 years of proven experience as a Data Engineer in developing platform level capabilities for a data-driven midsize to large corporations.
  • Strong object-oriented programming skills in languages such as Python, Java or Scala, with experience building large-scale, fault-tolerant systems.
  • Experience with cloud platforms (GCP, AWS, AZURE) with strong preference to GCP.
  • Experience with BigQuery or similar (Redshift, Snowflake, other MPP databases)
  • Experience building data pipelines & ETL
  • Experience with command line, version control software (git)
  • Excellent communication and collaboration skills.
  • Ability to work independently and quickly become productive after joining.



Preferred Requirements:

  • Knowledge of distributed data processing frameworks such as Apache Kafka, Flink, Spark, or similar.
  • Experience with DBT (Data Build Tool) and Looker.
  • Experience with machine learning pipelines or MLOps.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Distributed ComputingCloud Platform SystemDatabase SchemaData ArchitectureJava (Programming Language)SparkrObject-Oriented Programming (OOP)Python (Programming Language)Scala (Programming Language)Data PipelinesBigQueryApache KafkaVersion Control SoftwarePLINK (Genetic Analysis Software)MLOps (Machine Learning Operations)Extract Transform Load (ETL)Data Engineering

Other Skills

  • Mentorship
  • Verbal Communication Skills
  • Organizational Skills
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