Key skills
AWSCloudETLPythonSQLMLMLOpsELTData EngineeringAnalyticsData Mining
About this role
Role Overview
- Create and iterate on data products and develop pipelines that can be utilized to provide this data on an on-going basis.
- Assist in enhancing data delivery across PL and Distribution.
- Assist with pivoting from antiquated technologies to enterprise standards.
- Responsible to understand, analyze & translate business data stories into a technical stories' breakdown structure.
- Design, build, test and implement data products of varying complexity, with limited coaching and guidance.
- Design, build, and maintain ETL/ELT pipelines using Python and SQL
- Develop data validation scripts in Python
- Write SQL queries to detect anomalies, duplicates, and missing values
- Work closely with data analysts, scientists, and business stakeholders
Requirements
- 3 to 5 years of experience as a Data Engineer
- Full English fluency
- BS in computer Engineering, Information Systems' Data Science, Advanced Analytics, Data Engineering, ML Ops or similar
- Insurance Background
- Desirable
Technical & Business Skills
- Python
- Intermediate (1-3 Years) MUST
- Understanding Devops, MLOPS (MUST)
- ETL Pipeline Building (MUST)
- SQL
- Intermediate (4-6 Years) MUST
- AWS Cloud Experience (Desirable)
- Data Governance and Management
- Data Mining and Engineering
Tech Stack
- AWS
- Cloud
- ETL
- Python
- SQL
Benefits
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Home Office model
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally known group
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Training & Development
- *Note: Benefits differ based on employee level