Source description
About the role
Must Have:
- 5+ years of experience with Big Data, Hadoop on Data ... Python scripts, PySpark programs, HDFS commands, HDFS file formats (Parquet, Avro, ORC etc.) - hadoop developer skills
- Db2 sql
- Snowflake (Nice to have)
- Knowledge of USAA systems, ( Control-m, Servicenow, etc)…Also nice to have.
Job Requirements:
Primary Responsibilities:
• Identifies and manages existing and emerging risks that stem from business activities and the job role.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.
• Follows written risk and compliance policies and procedures for business activities.
• Design and implement complex technical solutions.
• Design, build, manage and optimize data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management.
• Participate in daily standups and lead design reviews.
• Breakdown business features into technical stories and approaches.
• Analyze data and enable machine learning. Create proof of concepts and prototypes.
• Implement efficient defect management, root cause analysis, and resolution processes.
• Assist in setting technical direction for the team.
• Mentor and coach junior engineers.
Minimum Requirements:
• Bachelor's degree in related field of study, OR 4 additional years of related experience beyond the minimum required.
• And 6 years of data management experience (10 Years total work experience in lieu of a degree) implementing data solutions demonstrating depth of technical understanding within a specific discipline(s)/technology(s)
• Deep knowledge of a technology or product line.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred Experience:
• Snowflake administration
• Security access monitoring
• Security management for Snowflake including: roles, service IDs and user access
• Database requests for new Snowflake compute Warehouses, schemas, and databases
• Document processes and guidelines
• Performance monitoring to include: Review high cost usage, provide feedback to users, and warehouse usage and size
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