Data Engineer

Tek Wissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a company operating a marketplace for consumers, sellers, and content creators. It offers merchandise and content purchased for resale from vendors and those offered by third party sellers.

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

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

• Proficiency in Python for data engineering tasks, including integration with AWS services.
• Experience with Python libraries such as Pandas, SQL Alchemy, or PySpark for handling data processing and analysis.
• Deep knowledge of AWS services related to data engineering such as S3, Lambda, Redshift.
• Experience with managing data pipelines, security, and automation on AWS.

• Experience in schema design, performance optimization, and maintenance for both relational and No
  
  SQL databases.
• Understanding of best practices for cloud-based database management, including backup, disaster recovery, and monitoring.
• Hands-on experience in designing, implementing, and managing time-series data.
• Proficiency in defining retention policies, querying, and optimizing time-series data workflows.

• 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.

• 4-5 Years
• Learn and Be Curious, Dive Deep

• Strong knowledge of SQL for complex querying, optimization, and database design
• AWS

Tek Wissen® Group is an equal opportunity employer supporting workforce diversity.