Data Engineer - Databricks | Bulgaria
On-siteSofia, Sofia-Capital, Bulgaria
Job Summary
Design and build scalable ETL/ELT data pipelines using Databricks, PySpark, Python, and SQL. Develop modern Lakehouse solutions leveraging Delta Lake and Medallion Architecture, while configuring Databricks Workflows and Jobs for batch, incremental, and streaming processing. Optimize Spark workloads for performance and cost efficiency, then implement data quality, monitoring, and operational best practices. Collaborate with Architects, Data Scientists, and stakeholders to deliver enterprise-grade Lakehouse solutions, contributing to code reviews and CI/CD processes. Troubleshoot production issues to continuously improve platform reliability.
Required Qualifications
- 3-5 max years of experience in Data Engineering
- Hands-on experience with Databricks and Apache Spark
- Strong skills in PySpark, Python, and SQL
- Experience developing production-grade ETL/ELT pipelines
- Good understanding of Delta Lake, Lakehouse Architecture, and data modelling
- Experience with batch and incremental data processing
- Understanding of Spark optimization and distributed data processing concepts
- Experience with Azure, AWS, or GCP
- Familiarity with Git and modern software engineering practices
- Strong analytical and problem-solving skills
- Ability to independently deliver Data Engineering solutions from development to production
- Excelling English language skills
- native Bulgarian are a must
Desired Qualifications
- Unity Catalog
- Databricks Asset Bundles
- Auto Loader
- Structured Streaming
- Lakeflow
- Terraform
- dbt
- CI/CD experience
- Databricks Certification
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