Databricks Data Engineer

 Job Title - Data Engineer – Databricks

Job Summary

We are seeking a skilled Data Engineer with hands-on experience in ETL development, Snowflake, SQL, Python, and PySpark. The candidate will be responsible for developing scalable data pipelines, designing data warehouse solutions, and enabling high-quality analytics through efficient data engineering practices.

Key Responsibilities

• Design, develop, and maintain end-to-end ETL/ELT pipelines.
• Build and optimize Snowflake-based data warehouse solutions.
• Develop data transformation logic using SQL, Python, and PySpark.
• Perform data ingestion from multiple structured and unstructured sources.
• Optimize Snowflake performance, including warehouses, clustering, and query tuning.
• Develop reusable data models and transformation frameworks.
• Ensure data quality through validation, testing, and monitoring.
• Collaborate with business stakeholders to gather requirements and deliver scalable data solutions.
• Troubleshoot production issues and optimize existing pipelines.
• Follow Agile development practices and participate in code reviews.

Required Skills

Must Have

• Data Engineering
• ETL Development
• Databricks
• SQL
• Python
• PySpark

Good to Have

• dbt
• Airflow
• AWS
• Azure
• Git
• CI/CD
• Data Modeling
• Data Warehousing

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related discipline.
• Experience working on enterprise-scale data platforms.
• Strong understanding of data warehousing concepts and cloud-based data solutions.