We are looking for an experienced data Engineer to join us and work on scalable data pipelines, modern lakehouse architectures, and cutting-edge data technologies.
What youll do:
Build, develop, and own end-to-end data pipelines, from ingestion to serving.
Ingest data from multiple sources, including APIs, files, databases, and enterprise systems.
Develop and optimize data pipelines using Spark, Python, and SQL.
Design and implement scalable lakehouse solutions on Databricks.
Work with batch, streaming, and incremental data pipelines.
Optimize pipeline performance, cost, reliability, and scalability.
Implement data quality, monitoring, and governance best practices.
Work closely with business and technical stakeholders to define and deliver data solutions.
For senior candidates: lead large-scale data projects and mentor data Engineers across projects.
Requirements: What were looking for:
3+ years of experience as a data Engineer.
Strong hands-on experience with Databricks - must.
Solid knowledge of Python, Spark, and SQL.
Experience building and optimizing data pipelines.
Familiarity with modern lakehouse architectures.
Experience with batch and/or streaming pipelines.
Experience with data modeling and large-scale data processing - an advantage.
Experience leading large data projects or mentoring engineers - a strong advantage.
Ability to translate business needs into technical solutions.
This position is open to all candidates.