Senior Data Engineer: Scalable Cloud Pipelines & Security

Luxer One; Vicente López; On-site; ARS 178,643,000 - 267,965,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision coverage

401(k) plan with employer match

Tuition reimbursement

Paid vacation and sick time

Job summary

A data-driven tech company in Buenos Aires seeks a Senior Data Engineer to develop and manage secure data pipelines. The ideal candidate has extensive experience with SQL, AWS Glue, and data security practices. Responsibilities include optimizing data warehouse solutions in Amazon Redshift and Google BigQuery, and collaborating with software engineering and analytics teams. This position promises professional growth and a supportive work environment, along with comprehensive benefits including medical coverage and a 401(k) plan.

Qualifications

• 5+ years of experience in data engineering or related field.
• Strong SQL skills with experience on large datasets.
• Proficiency in Python and Scala for data processing.

Responsibilities

• Design and maintain scalable and secure data pipelines.
• Optimize data warehouse solutions for analytics.
• Collaborate with teams to ensure data meets business requirements.

Skills

SQL

Python

Scala

Data modeling

Data pipeline development

Data security

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS Glue

Apache Spark

Amazon Redshift

Google BigQuery

Job description

A data-driven tech company in Buenos Aires seeks a Senior Data Engineer to develop and manage secure data pipelines. The ideal candidate has extensive experience with SQL, AWS Glue, and data security practices. Responsibilities include optimizing data warehouse solutions in Amazon Redshift and Google BigQuery, and collaborating with software engineering and analytics teams. This position promises professional growth and a supportive work environment, along with comprehensive benefits including medical coverage and a 401(k) plan.