Data Engineer at StarRez designing and maintaining data pipelines for analytics. Collaborating with teams to drive data quality and insights across the product.
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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