Databricks Data Engineer

ROLE OVERVIEW
We are seeking a highly skilled Databricks Engineer to design, build, and optimize scalable data pipelines KEY RESPONSIBILITIES

• Design, develop, and maintain end-to-end data pipelines using Databricks and PySpark.
• Build Lakehouse architecture using bronze, silver, and gold layers.
• Implement Delta Lake with ACID transactions and schema enforcement.
• Develop and manage Delta Live Tables (DLT) pipelines.
• Implement Auto Loader for incremental ingestion.
• Build streaming pipelines using Structured Streaming.
• Orchestrate jobs using Databricks Workflows.
• Apply Lakehouse data modeling for analytics.
• Enforce governance using Unity Catalog.
• Optimize SQL queries and Spark jobs.
  PRIMARY SKILLS (MUST-HAVE)
• Databricks (Delta Lake, Delta Live Tables, Unity Catalog, Workflows)
• PySpark and Apache Spark
• Structured Streaming
• Auto Loader
• SQL
• Lakehouse Data Modeling
  GOOD-TO-HAVE SKILLS
• Azure: ADF, Synapse, Purview, Fabric
• AWS: Glue, Lambda, Step Functions
• Airflow
• DBT, Five Tran, Informatica
• Kafka
• Power BI
• Collibra, Alation
• GCP Big Query
  QUALIFICATIONS
• Bachelor’s or master’s degree in computer science, Data Engineering, or related field.
• Proven experience building cloud-based data pipelines.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.