What You'll Do
Build, optimize, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence needs. Implement data architectures, including data lakes and warehouses, that support the organization's data strategy. Develop and maintain integrations between various data sources and analytics platforms. Monitor and optimize data pipeline performance and ensure compliance with data privacy regulations.
What We're Looking For
Hands-on experience with Databricks migration using the databricks/migrate tool. Proficiency in AWS services such as S3, Glue, and IAM basics. Strong knowledge of programming languages including Spark SQL, PySpark, Java, Python, and Scala. Experience with Agile methodologies and delivering in an Agile pod environment.
Additional Information
Experience Level
Senior
Job Language
English
Employment Type
Full-time
Work Mode
Remote