Lead Databricks Engineer

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience

• 5+ years of experience in data engineering with Databricks and Spark

• Proficient in SQL and Python and Pyspark

• Experience with Azure Databricks Medallion Architecture with DLT, Iceberg

• Financial/Corporate Banking context would be a plus

• Experience with data integration and ETL tools, such as Azure Data Factory

• Experience with Azure cloud platform and services

• Experience with data warehouse and data lake concepts and architectures

• Good to have experience with big data technologies, such as Kafka, Hadoop, Hive, etc

• Strong analytical and problem-solving skills

• Excellent communication and teamwork skills

Responsibilities

• Design, develop, and maintain data pipelines using Databricks and Spark, and other cloud technologies as needed

• Optimize data pipelines for performance, scalability, and reliability

• Ensure data quality and integrity throughout the data lifecycle

• Collaborate with data scientists, analysts, and other stakeholders to understand and meet their data needs

• Troubleshoot and resolve data-related issues, and provide root cause analysis and recommendations

• Document data pipeline specifications, requirements, and enhancements, and communicate them effectively to the team and management

• Create new data validation methods and data analysis tools, and share best practices and learnings with the data engineering community

• Implement ETL processes and data warehouse solutions, and ensure compliance with data governance and security policies