The Role
Design, build, and optimize scalable data pipelines using Databricks, PySpark, SQL, Delta Lake, and lakehouse architecture. Collaborate with analytics, product, and engineering teams while developing batch and streaming workflows, integrating data warehouse systems, and using cloud platforms and orchestration tools such as Azure, Airflow, ADF, or Prefect.
Summary Generated by Built In
This is a remote position.
We are looking for a Data Engineer with strong experience in Databricks, PySpark, and modern Data Warehouse systems. The ideal candidate can design, build, and optimize scalable data pipelines and work closely with analytics, product, and engineering teams.
Requirements
- Strong hands-on skills in Databricks, PySpark, and SQL
- Experience with data warehouse concepts, ETL frameworks, batch/streaming pipelines
- Solid understanding of Delta Lake and Lakehouse architecture
- Experience with at least one cloud platform (Azure preferred)
- Experience with workflow orchestration tools (Airflow, ADF, Prefect, etc.)
Skills Required
- Strong hands-on skills in Databricks, PySpark, and SQL
- Experience with data warehouse concepts and ETL frameworks
- Experience building batch and streaming data pipelines
- Solid understanding of Delta Lake and Lakehouse architecture
- Experience with at least one cloud platform, preferably Azure
- Experience with workflow orchestration tools such as Airflow, Azure Data Factory, or Prefect
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The Company
What We Do
Vyusoft is a future-focused software solutions company that empowers businesses to navigate digital transformation with confidence. They specialize in delivering customized, intelligent solutions using cutting-edge technologies like AI, cloud computing, data analytics, and automation.
