Senior Data Engineer

Pay Range: $60- $85/hr. The pay rate may differ depending on your skills, education, experience, and other qualifications.

Featured Benefits:

• Medical Insurance in compliance with the ACA.
• 401(k).
• Sick leave in compliance with applicable state, federal, and local laws.

Profile: Senior Data Engineer with SME in data analytics end AI work within our tech stack; 5+ years of experience.

Responsibilities:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Builds, tests, deploys and maintains production code for complex transactional applications using event driven microservices, node.js, Python languages. Incorporates Cloud technologies on new application development to include micro-services, SQL and AWS services such as lambda, S3, SQS, SNS, DynamoDB, Quicksight, AWS Redshift, Opensearch.
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Required Skills:

• Expert in writing  and optimizing complex SQL queries for data extraction, transformation, and reporting (e.g., SELECT, JOIN, GROUP BY, HAVING, WINDOW functions).
• Expert integrating Redshift Serverless with AWS services such as S3, Glue, Lambda, Athena, and Kinesis BI tools like Tableau, Quicksight, or Looker for real-time analytics and dashboards
• Expert in building serverless ETL pipelines with Lambda to automate data ingestion and transformation into Redshift.
• Experience in integrating Redshift Serverless with
• Experience of NodeJS and Python
• Working knowledge of any AI technologies
• Experience in working with AWS services, deploying applications to AWS
• Exposure to DevOps tools and automation
• Effective communication skills are a must along with a strong customer service orientation, and the ability to clearly discern client needs.