Data Engineer (Databrick + Pyspark)

We are looking for a skilled Data Engineer with strong expertise in PySpark, Databricks, and modern data engineering practices.

Requirements

• Design, develop, and maintain scalable ETL/ELT data pipelines
• Work extensively with PySpark and Apache Spark for large-scale data processing
• Build and manage workflows using Apache Airflow
• Develop and optimize data solutions on Databricks (Jobs, Delta Lake)
• Work with cloud-based data lakes (S3 or equivalent)
• Write efficient and complex SQL queries for data transformation and analysis
• Run and manage Spark workloads on EMR Serverless or other managed Spark platforms
• Ensure data quality, reliability, and performance optimization of pipelines