Architect

Area(s) of responsibility

Databrick architect

Exp level : 15 years+
• Must have : Expert in Databricks , Pyspark , python, SQL
• Strong knowledge on data bricks architecture and tools
• Have experience of task and wf jobs creations in data bricks
• Deep understanding of distributed computing and how to use spark for data processing
• SQL and pyspark : strong command over querying databases and proficiency in pyspark
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience
• 5+ years of experience in data engineering with Databricks and Spark
• Proficient in SQL and Python and Pyspark
• Experience with Azure Databricks Medallion Architecture with DLT, Iceberg
• Experience with data integration and ETL tools, such as Azure Data Factory, Bigquery, or AWS native
• Experience with Azure/AWS/ GCP cloud platform and services
• Experience with data warehouse and data lake concepts and architectures
• Good to have experience with big data technologies, such as Kafka, Hadoop, Hive, etc
• Strong analytical and problem-solving skills

Experience Level

Senior Level