Data Engineer III

Job Description:    

• Data Engineer Role 

Key Technical Requirements: 

SQL Expertise: 

• Strong knowledge of SQL for complex querying, optimization, and database design. 
• Experience with time-series databases, preferably Timestream. 

Timestream: 

• Hands-on experience in designing, implementing, and managing time-series data in the Timestream. 
• Proficiency in defining retention policies, querying, and optimizing time-series data workflows. 

Python Development: 

• Proficiency in Python for data engineering tasks, including integration with AWS services. 
• Experience with Python libraries such as Pandas, SQLAlchemy, or PySpark for handling data processing and analysis. 

AWS Cloud Services: 

• Deep knowledge of AWS services related to data engineering such as S3, Lambda, Redshift. 
• Experience with managing data pipelines, security, and automation on AWS. 

Database Design & Management: 

• Experience in schema design, performance optimization, and maintenance for both relational and NoSQL databases. 
• Understanding of best practices for cloud-based database management, including backup, disaster recovery, and monitoring. 

Problem Solving & Performance Optimization: 

• Strong troubleshooting skills for performance issues in both data pipelines and databases. 
• Experience with scaling databases and pipelines to accommodate increasing data volume and complexity. 

Requirements

REQUIRED SKILLS 

Years of Experience:  

• 4- 5 Years 

Leadership Principle:  

• Learn and Be Curious, Dive Deep 

Top 3 must-have hard skills 

• Strong knowledge of SQL for complex querying, optimization, and database design 
• Python for data engineering tasks 
• AWS 

Benefits

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