AWS with Data bricks

As an AWS with Databricks professional, you will be responsible for designing, building, and optimizing scalable data pipelines using Databricks on AWS. Your key responsibilities will include: - Developing ETL/ELT workflows - Integrating structured and unstructured data - Ensuring data quality and performance You should be proficient in Python, Pyspark, and SQL, with hands-on experience in AWS services such as S3, Glue, Lambda, and Redshift. Additionally, you should be skilled in Delta Lake, data lake architecture, and job orchestration. It is essential to have a strong understanding of data modeling, governance, and security best practices. As an Agile practitioner, you should have Git expertise and excellent communication skills. You should also be adept at translating business needs into technical user stories and working with large, complex code bases. No additional details about the company were mentioned in the job description.,