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 datasets and implement performance tuning and opti

📌 Databricks Developer (España)
🏢 Trinetix
📍 España