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 ideal candidate is analytical, detail-oriented, and experienced in working with large-scale data, performance optimization, and reliable data processing solutions.Requirements5+ years of hands-on software development experienceStrong expertise in Apache Spark, including hands-on experience delivering solutions on DatabricksAdvanced Python and data engineering skills, including strong experience with PySpark, Pandas, and related librariesExperience developing and maintaining unit tests for Databricks workloadsSolid understanding of columnar storage formats, such as ParquetHands-on experience with Delta Lake and Delta TablesProven experience working with small to large data volumes, including performance tuning and optimizationExperience building data ingestion, transformation, and analytics pipelinesHands-on experience with Databricks WorkflowsStrong analytical and problem-solving skills with close attention to detailConversational English — B2 level or higherConversational UkrainianNice-to-havesFamiliarity with Databricks DevOps practicesExperience with CI/CD processes for data engineering workloadsUnderstanding of software development lifecycle and engineering best practicesExperience working with distributed data processing environmentsExperience working in cross-functional, distributed teamsFamiliarity with enterprise-level data platforms and large-scale data environmentsCore ResponsibilitiesDesign, develop, and maintain scalable data ingestion, transformation, and analytics pipelines using DatabricksDevelop data processing solutions using Apache Spark and PySparkWork with large-scale datasets and implement performance tuning and optimization strategiesDesign and maintain Delta Lake / Delta Table solutions to support reliable and scalable data processingDevelop and maintain unit tests to ensure the quality and reliability of Databricks workloadsImplement and manage Databricks Workflows for data processing and pipeline orchestrationWork with columnar storage formats such as Parquet and optimize data processing and storage solutionsAnalyze business and technical requirements and translate them into effective data engineering solutionsCollaborate with cross-functional teams to ensure data pipelines and solutions meet technical and business requirementsApply data engineering and software development best practices to deliver maintainable, scalable, and reliable solutionsAbout UsEstablished in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world.Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture.Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics.To learn more about how we collect, process, and store your personal data, please review our Privacy Notice:
or continue with email
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
Show more