Data Engineer (Python & AWS)

Applaudo; Santiago; Presencial; CLP 28.846.000 - 48.077.000; Jornada completa

Descripción de la vacante

A leading data solutions company is seeking a Data Engineer to design and maintain scalable data platforms. The ideal candidate has over 5 years of experience, strong SQL and Python skills, and proficiency in cloud technologies like AWS or GCP. You will develop ETL pipelines and collaborate with cross-functional teams to enhance data infrastructure. We offer a supportive environment that includes great perks and benefits.

Servicios

Celebrations

Special discounts

Entertainment area

Modern Workspaces

Great work environment

Private medical insurance

Formación

• 5+ years of hands-on experience as a Data Engineer.
• Experience with streaming technologies like Kafka, Kinesis, or Pub/Sub is a plus.

Responsabilidades

• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop cloud-based data warehouses and data lakes.
• Implement observability and monitoring for data pipelines.
• Collaborate with cross-functional teams on data infrastructure.

Conocimientos

Advanced proficiency in SQL

Strong understanding of database fundamentals

Proficient in Python for data processing

Experience working with AWS, Azure, or GCP

Data modeling knowledge

Experience with workflow orchestration tools

Familiarity with Infrastructure as Code tools

Knowledge of Apache Spark or similar

English proficiency

Educación

Bachelor’s degree in computer science or related field

Herramientas

Docker

Kubernetes

Descripción del empleo

About you:

You are a Data Engineer who enjoys building reliable, scalable, and high-performance data platforms that drive meaningful impact. You thrive in designing end-to-end solutions, applying software engineering best practices, and leveraging cloud technologies to deliver clean, efficient, and automated data pipelines. You are collaborative, detail-oriented, and constantly seeking to improve and innovate within the modern data ecosystem.

You Bring to Applaudo the Following Competencies:

• Bachelor’s degree in computer science, Data Engineering, or related field, or equivalent practical experience.
• 5+ years of hands-on experience as a Data Engineer.
• Advanced proficiency in SQL and strong understanding of database fundamentals.
• Proficient in Python for data processing, automation, and transformation.
• Experience working with AWS, Azure, or GCP, including core data services.
• Strong knowledge of data modeling (dimensional, normalized, and performance-optimized).
• Experience with workflow orchestration tools (Airflow, Dagster, or Prefect).
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
• Understanding of software engineering best practices, including CI/CD, version control, and testing.
• Experience with Docker or Kubernetes for containerized data solutions (nice to have).
• Knowledge of Apache Spark or similar distributed data processing frameworks (nice to have).
• Familiarity with streaming technologies such as Kafka, Kinesis, or Pub/Sub (nice to have).
• English is a requirement, as you will be working directly with US-based clients.

You Will Be Accountable for the Following Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines integrating multiple data sources (APIs, databases, streams, and files).
• Develop and optimize cloud-based data warehouses and data lakes (Snowflake, BigQuery, Redshift, etc.).
• Implement observability and monitoring for data pipelines, including logging and alerting.
• Apply software engineering principles to ensure reliable, reusable, and well-documented code.
• Collaborate with cross-functional teams to align data infrastructure with analytics and business goals.
• Ensure data reliability, scalability, and performance across environments.
• Automate workflows and promote Infrastructure as Code for consistency and repeatability.
• Stay current with emerging data engineering tools and technologies and propose continuous improvements.

Additional Information

Here at Applaudo Studios, values such as trust, communication, respect, excellence, and teamwork are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Celebrations
• Special discounts
• Entertainment area
• Modern Workspaces
• Great work environment
• Private medical insurance

Benefits may vary according to your location and/or availability. Request further information when applying.