Design, develop, and maintain high-performance, scalable, high volume and efficient ETL/ELT pipelines to extract, transform, and load data from various sources such as Oracle. Create and optimize data models and schemas to support various use cases (such as AI/ML solutions, Analytics, Benchmarking, customer data delivery) in Snowflake, AWS Redshift. Ensure data quality, integrity/completeness, and governance by implementing best practices for monitoring and validation. Build automated monitoring and alerting mechanisms. Collaborate with cross-functional teams to understand data requirements to support business objectives. Stay up to date with emerging trends and technologies in data engineering.
40 hours/week, 9:00 am-5:00 pm
Education and Experience Requirements:
Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Engineering or a directly related field plus eight (8) years of building and maintaining production quality Data pipelines. Experience must include:
Five (5) years of experience with the following (may be gained concurrently):
- Relational databases (such as Oracle)
- Write the software code in scripting language
- ETL/ELT tools such as Ta lend or Informatica
- SQL
Telecommuting is permitted 3 days/week.
Please copy and paste your resume in the email body (do not send attachments; we cannot open them) and email it to candidates at (link removed) with job reference in the subject line.
Thank you.
