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😳оххх блин. Вот это канеш нифиговый набор плюшек летит впридачу к вакансии. Databricks Data Engineer — EY Nicosia, Cyprus · Hybrid · Full-time EY is looking for a Databricks Data Engineer to join its Consulting practice. The role focuses on designing, implementing, and developing modern lakehouse platforms for clients in Cyprus and international markets. Main responsibilities: • design, develop, and maintain scalable data pipelines and lakehouse architectures using Databricks; • develop and optimize Spark-based ETL/ELT workloads using PySpark and/or Scala; • work with Delta Lake, including bronze/silver/gold layers, schema evolution, partitioning, time travel, and ACID transactions; • build ingestion pipelines from relational databases, files, APIs, and streaming or near-real-time sources; • create curated data models for analytics, reporting, BI, and data science; • work with Databricks notebooks, jobs/workflows, reusable libraries, version control, testing, and deployment; • optimize Spark jobs by improving joins, partitions, file sizes, caching, cluster configuration, and query execution plans; • implement data quality, validation, reconciliation, and monitoring checks; • collaborate with data architects, analysts, data scientists, and business stakeholders; • participate in code reviews, documentation, platform standards, and engineering governance. Requirements: • Bachelor’s and/or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; • 3–5 years of experience in data engineering, analytics engineering, or a related field; • hands-on experience with Databricks, including notebooks, jobs/workflows, clusters, and Delta Lake; • experience designing medallion architectures and separating raw, cleansed, and business-ready data layers; • strong knowledge of Apache Spark and distributed data processing; • hands-on experience with PySpark and/or Scala; • ability to write, analyze, and optimize PySpark code for large-scale data processing; • understanding of Databricks Jobs/Workflows or similar orchestration patterns; • understanding of Spark performance optimization; • knowledge of Unity Catalog or similar approaches to data governance, access control, and lineage; • strong SQL skills and experience with SQL Server, Oracle, or PostgreSQL; • understanding of lakehouse and data warehouse modelling, including star schemas, fact/dimension models, and slowly changing dimensions; • experience developing production-grade ETL/ELT pipelines with logging, error handling, monitoring, and documentation; • familiarity with cloud data environments, preferably Azure; • experience working with Parquet, Delta, CSV, JSON, and XML; • strong analytical and troubleshooting skills, particularly around performance and data quality issues; • good communication skills and the ability to work in cross-functional consulting teams. Benefits: • 13th salary; • Provident Fund; • Private Medical and Life Insurance; • hybrid work and flexible work schedule; • Friday afternoon off; • EY Tech MBA and EY MSc in Business Analytics; • EY Badges — digital learning certificates; • Mobility programs; • Paid Sick Leave; • Paid Paternity Leave; • yearly wellbeing days off; • maternity, wedding, and new baby gifts; • EY Employee Assistance Program. Link: [linkedin]

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