Description:

As a Senior Data Engineer, you will enhance and optimize data and pipeline architecture, enriching data flow and collection for cross-functional teams.
You will collaborate with software developers, database architects, data analysts, and data scientists to ensure consistent and optimal data delivery architecture across ongoing projects.
Your responsibilities include designing and implementing data and application integrations, as well as data pipelines on both existing and new information systems.
You will construct secure data pipelines, focusing on automation through CI/CD techniques.
Identifying and resolving data quality issues in collaboration with the data team will be part of your role.
You will prepare data for business users, data analysts, and data scientists.
Direct communication with clients and product owners will be required.
Supporting system design and assisting with issue triage, diagnosis, and resolution will be expected.
You will collaborate on code reviews and solutions with other developers.
Contributing to system development methodologies and staying informed about evolving technologies, techniques, architectures, and hardware relevant to data management and platforms is essential.
Ensuring robust data security through encryption, access controls, and authentication mechanisms to maintain data integrity and confidentiality is a key responsibility.

Requirements:

A Bachelor's Degree in Computer Science, Engineering, or a related field is required.
You must have 5+ years of experience working as a Data Engineer.
5+ years of experience in data migration projects over mainstream databases (e.g., SQL Server, Oracle, MySQL, DB2) is necessary.
You should have 5+ years of experience in data modeling for Data Warehouses or Data Lakes, building efficient data pipelines.
3+ years of experience working with Python for data manipulation, scripting, and integration tasks is required.
2+ years of experience with Shell scripting skills (e.g., Bash, PowerShell) is needed.
You must have 2+ years of experience working with Azure cloud platforms.
2+ years of experience in data security and privacy is required.
You should have 2+ years of experience in automation of data pipelines.
2+ years of experience with source code control using Git is necessary.
Experience implementing Microsoft Fabric into production environments or 2+ years of experience with Azure Data Factory and/or Azure Synapse Analytics is required.
Experience with SQL is necessary.
You should have experience with API programming interfaces such as JDBC, ODBC, REST API, and SOAP API.
Experience with various data types (structured, semi-structured, unstructured, JSON, AVRO, ORC, Parquet, Iceberg, Arrow) is required.
An advanced English level is essential for this role as you will work with US clients, and effective communication in English is crucial.

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 your loved ones.
Sick or medical leave will be 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 enjoy with family and friends.