Data Engineer - Remote Work

BairesDev; São Paulo; Teletrabalho; BRL 457 974 - 646 551; Tempo integral

Vantagens oferecidas por esta oferta de emprego

100% remote work

Excellent compensation in USD

Flexible hours

Paid parental leaves and vacations

Innovative and multicultural work environment

Supportive environment with mentorship

Resumo da oferta

A global technology company is seeking an experienced Data Engineer for remote work. In this role, you will develop and maintain data processing systems using a modern cloud-native data stack, including AWS Glue, Apache Spark, and Databricks. Responsibilities include designing scalable data pipelines and managing Delta Lake tables. The ideal candidate has over 5 years of experience in Data Engineering, proficiency in Python for ETL, and advanced English skills. The position offers excellent compensation and flexible hours.

Qualificações

• 5+ years of experience in Data Engineering.
• 3+ years of hands-on experience with AWS Glue or Databricks.
• 3+ years of experience with Apache Spark.
• 2+ years of experience with Delta Lake.

Responsabilidades

• Design and implement scalable and secure data pipelines using AWS Glue or Databricks.
• Develop and optimize distributed processes in Apache Spark for large volumes of data.
• Manage and maintain Delta Lake tables, ensuring data integrity.
• Write and maintain clean, modular Python code for ETL processes.

Conhecimentos

Data processing systems development

AWS Glue

Apache Spark

Delta Lake

Python for ETL

Cloud experience

Advanced proficiency in English

Ferramentas

Databricks

Descrição da oferta de emprego

Data Engineer - Remote Work at BairesDev

Data Engineer for BairesDev. We are seeking an experienced Data Engineer to develop, analyze, maintain, and evolve data processing systems in operational and analytical environments. You will work with a modern, cloud-native data stack including AWS Glue, Apache Spark, Delta Lake, and Databricks to solve complex, large-scale data challenges that directly impact global decision-making and contribute to the company's core value stream.

What You’ll Do

• Design and implement scalable and secure data pipelines using AWS Glue or Databricks.
• Develop and optimize distributed processes in Apache Spark for large volumes of data.
• Manage and maintain Delta Lake tables, ensuring data integrity, versioning, and schema evolution.
• Write and maintain clean, modular Python code for ETL processes and automation.
• Collaborate with cross-functional teams to translate business needs into reliable data solutions.

What We Are Looking For

• 5+ years of experience in Data Engineering.
• 3+ years of hands-on experience with AWS Glue or Databricks.
• 3+ years of experience with Apache Spark.
• 2+ years of experience with Delta Lake.
• 5+ years of Python experience focused on ETL and automation.
• Familiarity with monitoring, observability, and data pipeline alerting systems.
• Cloud experience, preferably with the AWS ecosystem.
• Advanced proficiency in English.

How We Make Your Work (and Life) Easier

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

Apply now!