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Description:
As a Senior Data Engineer, you will build and manage efficient data systems and processes.
You will ensure that data is accessible, reliable, and ready to support business needs.
Your responsibilities include designing and maintaining scalable data pipelines and ETL processes.
You will manage and optimize relational and non-relational databases.
You will build and maintain data storage solutions like data warehouses and data lakes.
Ensuring data quality, accuracy, and integrity through validation processes is essential.
You will collaborate with analysts and data scientists to meet data needs.
Monitoring and troubleshooting data workflows for efficiency and reliability will be part of your role.
You will implement security measures to protect sensitive data.
Documenting data processes and architecture for future maintenance is required.
Requirements:
A Bachelor's Degree in Computer Science, Engineering, or a related field is required.
You must have 5+ years of experience working with big data technologies, infrastructure, and related languages.
You should have 5+ years of experience working with Machine Learning model development and deployment frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.).
5+ years of experience working as a Data Engineer on the Google platform (BigQuery, Spark, PyTorch, Tensorflow) is necessary.
You must have 5+ years of experience working with Python.
5+ years of experience in architecting and developing software or infrastructure for scalable, distributed systems is required.
Experience with analytics warehousing, data governance, data migrations, and data transformation related to Big Data is essential.
Experience in data analytics is necessary.
An advanced English level is required for this role as you will work with US clients, and effective communication in English is essential.
Benefits:
You will receive USD salary compensation.
The position offers 100% remote work, with the option to visit coworking spaces across LATAM to expand your professional network.
Paid time off according to your country’s law will be provided without affecting your monthly salary.
You will have your country’s national holidays off to celebrate important events and traditions with loved ones.
Sick or medical leave is available when needed to ensure your health and well-being.
A refundable annual credit will be provided for you to spend on your favorite perks.
Teambuilding activities such as coffee breaks, tech talks, and after-work gatherings will be organized to foster community.
You will receive a day off during your birthday week to celebrate with family and friends.