Remote Spark Data Engineer: Scalable Pipelines
BairesDev
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Benefits offered by this job
Job summary
BairesDev is a leading technology partner delivering cutting-edge solutions globally. We are seeking a Spark Data Engineer to design and optimize robust data pipelines and connect raw data sources with analytical platforms.
Join a remote-first team driving high performance, scalability, and reliability across a modern data ecosystem. You will build scalable pipelines, optimize jobs, and contribute to analytics and lakehouse solutions at scale, while collaborating with engineering teams to ensure
Qualifications
- 5+ years of experience in Data Engineering or Software Engineering.
- 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.
Responsibilities
- 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.
Skills
Tools
Job description
BairesDev is a leading technology partner delivering cutting-edge solutions globally. We are seeking a Spark Data Engineer to design and optimize robust data pipelines and connect raw data sources with analytical platforms.
Join a remote-first team driving high performance, scalability, and reliability across a modern data ecosystem. You will build scalable pipelines, optimize jobs, and contribute to analytics and lakehouse solutions at scale, while collaborating with engineering teams to ensure
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