[Hiring] Spark Data Engineer @BairesDev

Role Description

As a Spark Data Engineer, you will design and optimize robust data pipelines to handle large-scale datasets. You will connect raw data sources with analytical platforms, ensuring high performance, scalability, and efficiency across the organization's data ecosystem.

What You'll Do

• Build and maintain scalable batch and streaming data pipelines.
• Optimize processing jobs for maximum performance and cost-efficiency.
• Develop advanced analytics and lakehouse solutions at scale.
• Implement robust data modeling and structural transformations.
• Collaborate with engineering teams to ensure data quality and reliability.

Qualifications

• 5+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in building and optimizing large-scale data pipelines using Apache Spark.
• Hands-on experience developing analytics and lakehouse solutions on the Databricks platform.
• Strong proficiency in data modeling, transformation, and processing at scale.
• Advanced proficiency in English.

Benefits

• 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.