Data Engineer III

Pay rate range - $75/hr. to $80/hr. on W2
Onsite

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

REQUIRED SKILLS
Years of Experience: 4- 5 Years

Leadership Principle:
Learn and Be Curious, Dive Deep

Data Engineer Role
Key Technical Requirements:

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

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

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

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

Database Design & Management:
1. Experience in schema design, performance optimization, and maintenance for both relational and
NoSQL databases.
2. Understanding of best practices for cloud-based database management, including backup, disaster recovery, and monitoring.

Problem Solving & Performance Optimization:
1. Strong troubleshooting skills for performance issues in both data pipelines and databases.
2. Experience with scaling databases and pipelines to accommodate increasing data volume and complexity.