Senior Data Platform Engineer - Hybrid/Remote

EarnIn; Ciudad de México; Híbrido; MXN 1.544.799 - 2.231.377; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare

Internet/cell phone reimbursement

Learning and development stipend

Potential travel opportunities to HQ

Descripción de la vacante

A financial services company in Mexico City is seeking a Staff Data Engineer to enhance data infrastructure and support cross-functional teams. Candidates should have at least 7 years of experience in data engineering, strong knowledge of SQL, AWS, and frameworks like Apache Hadoop and Spark. This role offers a hybrid work model with excellent benefits including healthcare and a learning stipend. Join a diverse team that values all backgrounds and experiences.

Formación

• 7+ years of experience in data infrastructure design and maintenance.
• Proven leadership in managing complex projects and teams.
• Strong understanding of database design and optimization.

Responsabilidades

• Lead enhancement of internal processes for data delivery.
• Design and implement advanced ETL infrastructure.
• Collaborate closely with cross-functional teams to support data needs.

Conocimientos

Data infrastructure design

Automation

Data engineering

Python

Scala

Apache Hadoop

Apache Spark

AWS

SQL

NoSQL databases

Git

Terraform

Data governance

Data security principles

Educación

Bachelor's, Master's, or PhD degree in computer science or related discipline

Herramientas

AWS

Databricks

Kafka

Descripción del empleo

A financial services company in Mexico City is seeking a Staff Data Engineer to enhance data infrastructure and support cross-functional teams. Candidates should have at least 7 years of experience in data engineering, strong knowledge of SQL, AWS, and frameworks like Apache Hadoop and Spark. This role offers a hybrid work model with excellent benefits including healthcare and a learning stipend. Join a diverse team that values all backgrounds and experiences.