Qualifications

• 5-7 years of hands-on experience with the Databricks platform
• Deep expertise in Apache Spark using PySpark, Scala, and SQL
• Experience with Delta Lake, Unity Catalog, and Lakehouse architecture
• Proficient in building data pipelines and ETL/ELT frameworks
• Strong SQL and data modeling skills
• Practical experience with cloud platforms like Azure or AWS.

Responsibilities

• Design and implement end-to-end data architecture with Databricks Lakehouse platform
• Define and establish data engineering best practices and scalable ETL/ELT pipelines
• Architect solutions using Apache Spark and Databricks workflows
• Implement Delta Lake for improved data reliability and governance
• Collaborate with stakeholders to convert business needs into technical solutions
• Optimize data pipelines for better performance and cost efficiency
• Provide technical leadership and mentorship to data engineers and developers
• Ensure compliance with data security and governance standards

Benefits

• Opportunity to work in a cutting-edge cloud environment
• Collaborative culture with a focus on mentoring
• Engagement in high-impact projects that influence business outcomes
• Access to continuous learning and professional development resources
• Flexible work arrangements and supportive work-life balance.