Data Engineer

Qualifications:

• Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience with 3 years + of experience communicating ideas both verbally and in writing to management, business and IT sponsors, and technical resources in the appropriate language for each group.

Essential Skills:

• Fundamental understanding of distributed computing principles & knowledge of application and data security concepts, best practices, and common vulnerabilities.
• Conceptual understanding of one or more of the following: Big Data technologies, distributions, metadata management products, commercial ETL tools, BI and reporting tools, messaging systems, data warehousing, Java (language and run time environment), major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud, or rest API design and development.
  

Required:

• Strong SQL skills
• Experience building ETL Pipelines (specifically migrating DB2 to Snowflake)
• Experience using cloud technology - AWS/Snowflake/S3
• Experience with at least 1 RDBMS
• Experience using/contributing to data cataloging/data dictionary (Alation preferred)
• Passion for quality and testing practices
• Ability to research and solve problems independently

• Strong written and verbal communication skills

Nice to have:

• Financial industry knowledge / prior work experience in the finance industry

• Experience with NiFi/Kafka

• Experience tracking data lineage (IGC preferred)

• Experience with Python

• Experience with virtualization (Denodo preferred)