VP, Senior Data Engineer responsible for designing and developing cloud data solutions for insider risk in Information Security at SMBC. Collaborating with multiple teams to enhance cybersecurity data platform.
About the role
- Data Engineer joining TRINETIX to develop efficient data solutions for an American client with a focus on scalability and collaboration.
Responsibilities
- Setting up data imports from external data sources (DB, CSV, API)
- Building highly scalable pipelines to process high-volume data for reporting and analytics consumption
- Designing data assets that support experimental and organizational processes, and are efficient and easy to work with
- Close cooperation with engineers, data scientists, product managers, and business teams to make sure data products are aligned with organizational needs
Requirements
- BS+ in computer science or equivalent experience
- 3+ years of experience in Data Engineering
- 3+ years of experience with Python
- Strong experience with AWS stack: Glue, Athena, EMR Serverless, Kinesis, Redshift, Lambda, Step Functions, SQS/SNS
- Experience with Spark, PySpark, Iceberg, Delta lake, Aurora DB, DynamoDB
- Nice-to-haves: Data modeling and managing data transformation jobs with high volume and timing requirements experience
- AWS CodePipeline, Beanstalk, Azure DevOps, Cloud Formation
- Profound skill to collaborate with cross functional teams, including communicating effectively with people of varying levels of technical knowledge
- Readiness to learn new technologies
Benefits
- Paid training programs and English/Spanish language courses
- Medical insurance, sports program compensation, pet care and other benefits compensation program, which can be selected by each employee according to personal preferences
- Comfortable working hours
- Awesome team events and a wide variety of knowledge sharing opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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