Trinetix is looking for a skilled Databricks Developer with strong expertise in Apache Spark, Python, and modern data engineering practices. This role involves designing, developing, and maintaining scalable data ingestion, transformation, and analytics pipelines using Databricks and related technologies. The idóneo candidate is analytical, detail-oriented, and experienced in working with large-scale data, performance optimization, and reliable data processing solutions.
Requirements
- 5+ years of hands-on software development experience
- Strong expertise in Apache Spark, including hands-on experience delivering solutions on Databricks
- Advanced Python and data engineering skills, including strong experience with PySpark, Pandas, and related libraries
- Experience developing and maintaining unit tests for Databricks workloads
- Solid understanding of columnar storage formats, such as Parquet
- Hands-on experience with Delta Lake and Delta Tables
- Proven experience working with small to large data volumes, including performance tuning and optimization




- Experience building data ingestion, transformation, and analytics pipelines
- Hands-on experience with Databricks Workflows
- Strong analytical and problem-solving skills with close attention to detail
- Conversational English — B2 level or higher
- Conversational Ukrainian

Nice-to-haves
- Familiarity with Databricks DevOps practices
- Experience with CI/CD processes for data engineering workloads
- Understanding of software development lifecycle and engineering best practices
- Experience working with distributed data processing environments
- Experience working in cross-functional, distributed teams
- Familiarity with enterprise-level data platforms and large-scale data environments

Core Responsibilities
- Design, develop, and maintain scalable data ingestion, transformation, and analytics pipelines using Databricks
- Develop data processing solutions using Apache Spark and PySpark
- Work with large-scale datase

📌 Databricks Developer (España)
🏢 Trinetix
📍 España