Pay rate range - $75/hr to $80/hr on W2.
Location: Onsite.
Must Have
Strong knowledge of SQL for complex querying, optimization, and database design
Python for data engineering tasks
AWS experience
Required Skills
Years of Experience: 4-5 Years.
Leadership Principles
Learn and Be Curious, Dive Deep.
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 designing, implementing, and managing time-series data in 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.
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