Remote Databricks Data Engineer | Spark & Data Pipelines
BairesDev
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Benefits offered by this job
Job summary
BairesDev is seeking a Databricks Data Engineer (Apache Spark) to design and optimize large-scale data pipelines across cloud environments. You will build robust architectures, optimize jobs for performance and cost, and collaborate with cross-functional teams to translate business needs into scalable data models.
Ideal candidates have 5+ years in data or software engineering, with Apache Spark and Databricks expertise, strong data processing skills, cloud data architectures, and proficient
Qualifications
- 5+ years of experience in Data Engineering or Software Engineering.
- Proven expertise with Apache Spark and Databricks for data pipelines.
- Strong proficiency in large-scale data processing and optimization.
- Hands-on experience with cloud data architectures and data modeling.
- Advanced proficiency in English.
Responsibilities
- Design, implement, and optimize robust data pipelines for large-scale data workflows.
- Build efficient data architectures using lakehouse and warehouse platforms.
- Optimize processing jobs for performance, resource use, and cost-efficiency.
- Collaborate with cross-functional teams to translate business needs into data structures.
- Ensure data integrity, reliable ingestion, and clean data modeling across cloud environments.
Skills
Job description
BairesDev is seeking a Databricks Data Engineer (Apache Spark) to design and optimize large-scale data pipelines across cloud environments. You will build robust architectures, optimize jobs for performance and cost, and collaborate with cross-functional teams to translate business needs into scalable data models.
Ideal candidates have 5+ years in data or software engineering, with Apache Spark and Databricks expertise, strong data processing skills, cloud data architectures, and proficient
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