Full Stack Data Engineer - ETL/Databricks

Job Overview :

We are seeking a skilled Databricks Full Stack Data Engineer to build and optimize data pipelines and analytics solutions. The ideal candidate will have strong experience in ETL development, Databricks, and modern data engineering practices across the full data stack.

Key Responsibilities :

- Work with structured and unstructured data to support analytics and business intelligence needs

- Develop and optimize data workflows using Spark (PySpark/Scala)

- Collaborate with data scientists, analysts, and stakeholders to understand data requirements

- Ensure data quality, integrity, and performance optimization

- Integrate data from multiple sources and manage data transformations

- Contribute to data architecture and best practices

Required Skills & Qualifications :

- 5-8 years of experience in data engineering or related roles

- Strong hands-on experience with Databricks and ETL pipeline development

- Proficiency in PySpark/Scala and SQL

- Experience with cloud platforms (AWS/Azure/GCP)

- Understanding of data warehousing concepts and data modeling

- Experience working with large-scale data processing systems

Preferred Qualifications :

- Familiarity with data orchestration tools (Airflow, etc.)

- Knowledge of Delta Lake and modern data lake architectures