Data Engineer

Key Responsibilities
Build and maintain data pipelines using Databricks and PySpark
Work with structured and unstructured data sources (JSON, CSV, XML, etc.)
Support data ingestion, transformation, and validation processes
Collaborate with Lead Engineers on implementation and delivery
Ensure data quality and consistency across pipelines

Required Qualifications
 Hands-on experience with PySpark and Databricks
 Strong SQL and Python skills
 Experience building and supporting data pipelines
 Familiarity with Airflow or similar orchestration tools
 Nice to Have
 Experience with GCP / BigQuery
 Exposure to DBT
 Experience working in evolving or messy data environments