Data Engineer (Etl, Reporting, Python)

Data Engineer (ETL, Reporting, Python)

Direct Hire Opportunity

Sorry, no sponsorship

Hybrid: 3 Days Remote, 2 Days in the office

Will be responsible for designing and implementing ETL, Storage, and Reporting solutions. A strong technical background working with regulated environments is helpful, as well as demonstrated Data Management skills and a self-motivated attitude.

Ideal Candidate Skills

SQL, ETL, Python, Snowflake, Matillion, Tableau, AWS Lambda, AWS S3, AWS SQS, AWS CloudFormation

Requirements:

• 4+ year of ETL experience required
• Experience with various ETL tools in an audited environment.
• Strong Python experience required
• Experience with Data Warehouse technologies
• Experience with enterprise reporting packages
• Technical bachelor’s degree or equivalent experience required
• 5+ years of IT industry experience required
• 5+ years of database (SQL) experience required
• Experience working with source control (git)

Highly preferred:

• 3+ years of reporting experience preferred (Tableau)
• Experience with monitoring and audit tools preferred
• 1+ years cloud experience (AWS Lambda, S3, SQS, CloudFormation preferred)
• Matillion experience preferred
• 2+ years Snowflake experience preferred
• Experience with CI/CD Pipelines preferred

Essential Functions

• Work with departments that are creating data or ingesting data to build and maintain a documented set of information life cycles; serve as a knowledge resource, it must have a clear understanding of our processes and the resulting data
• In-depth understanding of Python programming/objects
• Engage stakeholders to understand and document business requirements, translate them into technical requirements, and then deliver the solution
• Install processes for auditing data warehouse transfers, storage, and data quality
• Follow PMO/Release/Change Management policies/procedures
• Manage data design and the creation of database architecture and data repositories
• Facilitate Data ETL for customer facing and internal processes
• Interface with Project Managers, Developers, and Production support to keep processes, databases, and reports kept up to date with all changes
• Ensure that data projects and milestones are met
• Follow and participate in all IT projects and initiatives to effectively develop and maintain an understanding of existing and new data flows