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Data Engineer (Databricks) - Remote Work | REF#304689
Cajamarca
Postular con:Data Engineer (Databricks) - Remote Work | REF#304689
Servicios y consultoría de TI
Resumen
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.
Data Engineer (Databricks) at BairesDev
As a Data Engineer specializing in Databricks, you will develop and maintain scalable data pipelines and transformations within Databricks environments. You will act as a key link between raw data sources and analytics-ready datasets, leveraging lakehouse architectures to ensure data consistency and reliability.
What You'll Do
Apply now!
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.
Data Engineer (Databricks) at BairesDev
As a Data Engineer specializing in Databricks, you will develop and maintain scalable data pipelines and transformations within Databricks environments. You will act as a key link between raw data sources and analytics-ready datasets, leveraging lakehouse architectures to ensure data consistency and reliability.
What You'll Do
- Design and implement end-to-end ETL pipelines using PySpark and SQL within the Databricks platform.
- Build and optimize data transformations following the Medallion Architecture to create high-quality Bronze, Silver, and Gold layers.
- Develop declarative pipelines and manage complex orchestration workflows to ensure reliable production deployments.
- Collaborate with data scientists and analysts to provide clean, structured data for advanced analytics and machine learning workloads.
- Ensure data integrity and performance through proactive monitoring, schema enforcement, and automated data quality checks.
- Maintain and scale lakehouse environments to handle diverse structured and unstructured datasets efficiently.
- 4+ years of experience in Data Engineering or Software Engineering.
- Proven expertise in developing and optimizing data pipelines using Databricks and PySpark.
- Strong proficiency in SQL and experience with data warehousing concepts.
- Hands-on experience building and maintaining data lakehouse architectures.
- Deep understanding of ETL/ELT processes and large-scale data transformations.
- Advanced proficiency in English.
- 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.
Apply now!
Requerimientos
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