Databricks Developer

🕒 August 19

🌐 Poland, Spain, +3 more countries – Remote

🇵🇱 Poland – Remote 🇪🇸 Spain – Remote 🇵🇹 Portugal – Remote 🇷🇴 Romania – Remote 🇧🇬 Bulgaria – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 27%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Trinetix

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Trinetix is a trusted digital product partner to world-renowned enterprises and fast-growing brands globally. With 13 years of industry experience and over 900 talents globally, Trinetix specializes in transforming operational, business, and tech models to create 360-degree value. They offer a range of services such as AI and generative AI services, enterprise software development, experience design, and intelligent automation. Trinetix helps clients navigate digital transformation with ease, focusing on innovation and tech excellence to unlock growth opportunities and broaden strategic horizons. Their key industries include professional services, logistics, healthcare, and financial services, among others.

📋 Description

• 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 optimization strategies • Design and maintain Delta Lake / Delta Table solutions to support reliable and scalable data processing • Develop and maintain unit tests to ensure the quality and reliability of Databricks workloads • Implement and manage Databricks Workflows for data processing and pipeline orchestration • Work with columnar storage formats such as Parquet and optimize data processing and storage solutions • Analyze business and technical requirements and translate them into effective data engineering solutions • Collaborate with cross-functional teams to ensure data pipelines and solutions meet technical and business requirements • Apply data engineering and software development best practices to deliver maintainable, scalable, and reliable 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 • Nice-to-haves: Experience with CI/CD processes for data engineering workloads • Nice-to-haves: Understanding of software development lifecycle and engineering best practices • Nice-to-haves: Experience working with distributed data processing environments • Nice-to-haves: Experience working in cross-functional, distributed teams • Nice-to-haves: Familiarity with enterprise-level data platforms and large-scale data environments