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Analytics Engineer

Yalo

Córdoba

A distancia

ARS 66.600.000 - 93.241.000

Jornada completa

Hoy
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A tech company specializing in conversational commerce seeks an experienced Analytics Engineer to enhance data workflows and visualizations. The role entails developing ETL processes and collaborating with cross-functional teams. Ideal candidates should have a background in computer science, strong SQL skills, and experience with BigQuery and data governance. This position offers flexible remote working arrangements and a competitive rewards package.

Servicios

Unlimited PTO policy
Competitive rewards
Flexible working hours
Start-up environment

Formación

  • Minimum 3 years of Analytics Engineering experience.
  • Experience in designing ETL/ELT models and data workflows.
  • Advanced SQL skills with relational databases.

Responsabilidades

  • Develop visualizations in Looker and PowerBI.
  • Transform, test, and document data processes.
  • Collaborate with cross-functional teams.

Conocimientos

ETL design
SQL
Data visualization
Data governance
Python

Educación

Bachelor’s/Master’s degree in Computer Science

Herramientas

BigQuery
Airflow
Looker
Snowflake
Descripción del empleo
Overview

Hi! This is Yalo! We are on a mission to bring conversational commerce to the world. We are marrying the scale of digital commerce with the personalization and simplicity of conversations to help companies delight their users. We care about bringing amazing experiences to populations traditionally underserved, such as the small shop owner in Brazil that is ordering online for the first time. Join us in our mission of improving billions of lives through the power of conversational commerce!

Your mission?

We are seeking a skilled Analytics Engineer with solid experience in delivering clean data sets to end users, modeling data to empower end users to answer their own questions about data. This person will be responsible for data structures, formats, construction of ETLs and ideally has experience as a Data Analyst.

Responsibilities
  • Developing visualizations in Looker, Looker Studio and PowerBI for internal stakeholders and final customers.
  • Transforming, testing, deploying, and documenting data.
  • Applying software engineering best practices like version control and continuous integration to the analytics code base.
  • Help to design, build and maintain batch or real-time data pipelines in production.
  • Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
  • Help to design and maintain a semantic layer and collaborate in Data Governance.
  • Automate data workflows ideally experience in dbt Cloud.
  • Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
  • Partner with data scientists and data analysts to deploy machine learning and data models in production.
  • Participate in data monitoring about its performance and help to implement optimization strategies.
  • Collaboration: Work closely with cross-functional teams, product managers, and stakeholders to ensure the delivery of high-quality software.
  • Continuous Learning: Stay updated with the latest trends and technologies in data systems, ensuring that our systems remain state-of-the-art.
Job Requirements
  • Bachelor’s/Master’s degree in Computer Science, Information Systems, or a related field.
  • Minimum 3 years of Analytics Engineering experience.
  • Good experience in designing and building ETL/ELT models and data workflows.
  • Working knowledge on designing a BI semantic layer.
  • Good understanding of data structures, algorithms, and software design.
  • Advanced SQL skills and experience with relational databases and database design.
  • Experience working with BigQuery cloud Data Warehouse and other solutions like Snowflake/ Databricks.
  • Ideally working knowledge in object-oriented languages (e.g. Python).
  • Knowledge of data pipelines services like Fivetran.
  • Good understanding of batch and stream pipelines like Kafka.
  • Ideally, experience in cloud environments and good understanding of microservices and APIs.
  • Understanding of data pipeline and workflow management tools (e.g., Airflow).
  • Strong project management and organizational skills.
  • Excellent problem-solving, communication, and organizational skills.
  • Proven ability to work independently and with a team.
Nice to have
  • Collaborative experience in Data Governance and semantic layers.
Soft skills that matter to us
  • Work closely with cross-functional teams, product managers, and stakeholders to ensure the delivery of high-quality software.
  • Good attitude to act as a tech-lead - identifying the right resources, and supporting the team’s plan.
  • Excellent communication and collaboration skills.
What do we offer?
  • Unlimited PTO policy
  • Competitive rewards on the market range
  • Remote working is available (-+3 hours CT)
  • Flexible time (driven by results)
  • Start-up environment
  • International teamwork
  • You and nothing else limit your career here

We care, We keep it simple, We make it happen, We strive for excellence. At Yalo, we are dedicated to creating a workplace that embodies our core values: caring, initiative, excellence, and simplicity. We believe in the power of diversity and inclusivity, where everyone's unique perspectives, experiences, and talents contribute to our collective success. As we embrace and respect our differences, we strive to create something extraordinary for the benefit of all. We are proud to be an Equal Opportunity Employer, providing equal opportunities to individuals regardless of race, color, religion, national or ethnic origin, gender, sexual orientation, gender identity or expression, age, disability, protected veteran status, or any other legally protected characteristic. Our commitment to fairness and equality is a fundamental pillar of our company. At Yalo, we uphold a culture of excellence. We constantly challenge ourselves to go above and beyond, delivering remarkable results and driving innovation. We encourage each team member to take initiative and make things happen, empowering them to bring their best ideas forward and contribute to our shared goals.

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