Data Engineer (Argentina)

Data Engineer (Argentina)

10 ago
|
HeyClue
|
Argentina

10 ago

HeyClue

Argentina

Sr. Data Engineer

?LATAM - 100% Remote

?Contract - USD

Overview

?️Advanced English skills is required

This role focuses on backend development and integrations for building and maintaining enterprise data warehouses and data lakes. The idóneo candidate will possess a deep understanding of data architecture, ETL pipelines, and integration technologies, ensuring seamless data flow and accessibility across the organization.

Key Responsibilities

Design, develop, and maintain scalable backend systems to support data warehousing and data lake initiatives.
Build and optimize ETL/ELT processes to extract, transform, and load data from various sources into centralized data repositories.
Develop and implement integration solutions for seamless data exchange between systems, applications, and platforms.
Collaborate with data architects, analysts, and other stakeholders to define and implement data models, schemas, and storage solutions.
Ensure data quality, consistency, and security by implementing best practices and monitoring frameworks.




Monitor and troubleshoot data pipelines and systems to ensure high availability and performance.
Stay up-to-date with emerging technologies and trends in data engineering and integration to recommend improvements and innovations.
Document technical designs, processes, and standards for the team and stakeholders.

Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field; equivalent experience considered.
Proven experience as a Data Engineer with 5 or more years of experience; or in a similar backend development role.
Strong proficiency in programming languages such as Python, Java, or Scala.
Hands-on experience with ETL/ELT tools and frameworks (e.g., DBT, etc.).
Extensive knowledge of relational and non-relational databases (e.g., SQL, NoSQL).
Expertise in building and managing enterprise data warehouses (e.g., Snowflake, Amazon Redshift, Google BigQuery) and data lakes (e.g., AWS S3, Azure Data Lake).
Fam

📌 Data Engineer (Argentina)
🏢 HeyClue
📍 Argentina

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