Data Engineer/Software Engineer

CRAFTLabs

Buenos Aires

Híbrido

ARS 1.200.000 - 1.800.000

Jornada completa

Hace 2 días
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Descripción de la vacante

CRAFTLabs seeks a seasoned Software Engineer focused on Data & Analytics, with experience in ADF, Databricks, ADLS, Synapse and Python. The ideal candidate brings wide enterprise infrastructure exposure, on-premise and cloud.

You will develop ETL pipelines, integrate systems via REST APIs, and collaborate on automating processes and infrastructure-as-code across multi-cloud environments. Remote and on-site collaboration are expected.

Formación

  • 4+ years of relevant work experience.
  • Solid understanding of DevOps CI/CD and monitoring.
  • Experience with Agile ceremonies.
  • Passionate about good engineering practices and testing.
  • Ability to organize, prioritize and communicate daily/weekly goals.
  • Curious, humble and results oriented.
  • Customer facing experience and willingness to visit office in BA biweekly.

Responsabilidades

  • Develop ETL pipelines in Python and Azure Data Factory and their DevOps CI/CD pipelines.
  • Software engineering and systems integration through REST APIs and other interfaces.
  • Collaborate with engineers to automate processes, deploy and manage multi-cloud infra as code.
  • Participate in agile ceremonies, weekly demos and related activities.
  • Communicate daily commitments clearly to the team.

Conocimientos

Python
Java
.NET C#
SQL
Azure Data Factory
Databricks
Terraform
Docker
Kubernetes

Herramientas

Azure
REST APIs

Descripción del empleo

Who we are

We are software artisans passionate about what we do: help companies build awesome solutions. With an agile process that is built on top of the best engineering practices.

Our team is comprised of full-stack developers and architects, who are versed in the very latest technologies and love what they do!

We believe transparent, honest and fluent communication, both remotely and on-site is a key factor to the success of any project.

What we are looking for

We are looking for a seasoned Software Engineer oriented to a Data & Analitycs ecosystem (ADF, Databricks, ADLS, Synapse, Python, etc...). Our ideal candidate is the one who has a wide experience in infrastructure enterprise, On-Premise and Cloud.

Responsibilities
  • Develop ETL pipelines in Python and Azure Data Factory as well as their DevOps CICD pipelines.
  • Software engineering and systems integration through REST APIs and other standard interfaces.
  • Work together with a team of professional engineers with the objective of automating processes, deploying and building infrastructure as code and managing the architecture of multicloud systems.
  • To Participate in agile ceremonies, weekly demos and such.
  • To Communicate your daily commitments.
Qualifications
  • 4+ years of relevant work experience.
  • Solid understanding of DevOps CI CD and monitoring.
  • Experience with Agile ceremonies.
  • Passionate about good engineering practices and testing.
  • Ability to organize, prioritize and communicate daily/weekly goals.
  • You like to learn, are curious, humble and like to get things done.
  • Passion for working in a customer facing setting.
  • In case of living in Buenos Aires, you have to assist to the office once every two weeks.
Required Skills
  • Proficient with Python, Java or .NET C#.
  • Proficient with SQL.
Nice to have:
  • Proficient with ETL products (Spark, Databricks, Snowflake, Azure Data Factory, etc.)
  • Proficient with Azure Data Factory.
  • Proficient with Databricks/Snowflake and PySpark.
  • Proficient developing DevOps/CICD pipelines.
  • Proficient with Azure DevOps YAML Pipelines.
  • Proficient with Azure cloud services: ARM templates, API management, App Service, VMs, AKS, ACR, Gateways.
  • Terraform, Docker & Kubernetes.
  • Bash/Powershell.

Our solutions support enterprise information management, business intelligence, machine learning and data science. You should excel in working remotely and have outstanding communication skills (Transparency is one of our core values).

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