Databricks Data Engineer (Apache Spark) - Remote work | REF#305826

BairesDev; Bogotá ciudad; Remoto; COP 286.670.000 - 445.931.000; Tempo pieno

Vantaggi offerti da questo lavoro

100% remote

USD compensation

Flexible hours

Parental leave

Mentorship and growth

Descrizione del lavoro

BairesDev is hiring a Databricks Data Engineer to design and develop large-scale data processing systems, translating raw data into actionable insights across cloud environments.

The role focuses on building scalable data pipelines, optimizing workloads, and collaborating with cross-functional teams. This is a 100% remote position with flexible hours and competitive USD compensation.

Competenze

• 5+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in building and managing data pipelines using Apache Spark and Databricks.
• Strong proficiency in large-scale data processing and optimization.
• Hands-on experience with cloud data architectures and data modeling.
• Advanced proficiency in English.

Mansioni

• Design, implement, and optimize robust data pipelines to handle large-scale data workflows.
• Build efficient data architectures using modern lakehouse and warehouse platforms.
• Optimize processing jobs for peak performance, resource allocation, and cost-efficiency.
• Collaborate with cross-functional teams to translate complex business requirements into future-ready data structures.
• Ensure data integrity, reliable ingestion, and clean data modeling across cloud environments.

Conoscenze

Data engineering

Apache Spark

Databricks

Large-scale processing

English proficiency

Strumenti

Databricks

Apache Spark

Descrizione del lavoro

At BairesDev we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Databricks Data Engineer (Apache Spark) at BairesDev

As a Databricks Data Engineer, you will design and develop large-scale data processing systems to handle complex batch and streaming workloads. You will serve as a critical link between raw data streams and actionable insights, ensuring high performance, scalability, and robust cloud data architectures across the organization.

What You'll Do

• Design, implement, and optimize robust data pipelines to handle large-scale data workflows.
• Build efficient data architectures using modern lakehouse and warehouse platforms.
• Optimize processing jobs for peak performance, resource allocation, and cost-efficiency.
• Collaborate with cross-functional teams to translate complex business requirements into future-ready data structures.
• Ensure data integrity, reliable ingestion, and clean data modeling across cloud environments.

What We Are Looking For

• 5+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in building and managing data pipelines using Apache Spark and Databricks.
• Strong proficiency in large-scale data processing and optimization.
• Hands-on experience with cloud data architectures and data modeling.
• Advanced proficiency in English.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• 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!

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