Job Details
hands on experience working with AWS Glue, Pyspark, SQL and data warehousingAWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc Databricks, Spark, Glue and Athena Expertise in Lake Formation, Python programming, Spark, Shell scripting Experience in designing, building, and maintaining AWS data components 2+ years of experience in data component configuration, related roles and access setup Expertise in Python programming Knowledge in all aspects of DevOps (source control, continuous integration, deployments, etc) Experience working in the SCRUM Environment Experience in Administration (Windows/Unix/Network/Database/Hadoop) is a plus.
Comfortable with creating data models and visualization using Power BI SQL Server experience is a plus Strong analytical skills to solve and model complex business requirements