Key skills
Distributed SystemsETLJavaPythonScalaSQLMLELTData EngineeringData WarehousingAnalyticsGitVersion Control
About this role
Role Overview
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes
- Build and optimize data warehouses, data lakes, and data models
- Ensure data quality, reliability, and integrity through validation and monitoring
- Integrate data from multiple sources such as databases, APIs, and third-party systems
- Optimize data storage and query performance for analytics and reporting
- Implement data security, governance, and compliance best practices
- Collaborate with data scientists and analysts to support analytics and ML use cases
- Automate data workflows and improve pipeline efficiency
- Troubleshoot and resolve data pipeline and performance issues
- Document data architecture, processes, and standards
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 3+ years of experience in data engineering or related roles
- Strong proficiency in SQL and experience with relational databases
- Hands-on experience with data pipelines and ETL tools
- Experience with Python, Java, or Scala
- Knowledge of data modeling, data warehousing, and analytics best practices
- Experience working with large datasets and distributed systems
- Understanding of version control systems (e.g., Git)
Tech Stack
- Distributed Systems
- ETL
- Java
- Python
- Scala
- SQL