Information Technology & Services

Data Engineer 181872

Covington, KYOnsiteFull TimePosted 1 month agoVisa sponsorship available

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Required skills

Data solutions
SQL
Stored Procedure
QA
Testing methodologies
CI/CD
Jenkins
Git
GitHub
Database Design

Nice to have

MySQL
Snowflake
ETL/ELT tools
Informatica
Python for ELT pipelines
AWS

Role summary

The Data Engineer will be responsible for developing and deploying data solutions, with a strong emphasis on SQL and Python for ELT pipelines. The role requires 3 years of experience in data solutions development within a technology context, alongside 5+ years in technology overall. Key responsibilities include building, maintaining, and tuning stored procedures and complex SQL queries, as well as performing systems analysis for legacy process decomposition and debugging. Proficiency in QA/Testing methodologies and CI/CD toolsets is essential. Experience with Agile frameworks, cloud platforms (AWS/Azure), and Business Intelligence tools (Tableau/PowerBI) is preferred.

The Expertise and Skills You Bring:

5+ years in Technology with 3 years in developing and deploying data solutions
Excellent written and verbal communication skills including experience writing documentation
Excellent collaboration skills to work with multiple teams in the organization
Ability to deal with ambiguity and work in fast paced environment
Systems analysis background with an emphasis on legacy process decomposition and debugging/tuning/refactoring
Strong understanding of data analysis concepts and associated tools such as SQL, Python, Stored Procedure, etc.
Experience building, maintaining, and tuning stored procedures, complex SQL queries.
QA / Testing – must be highly proficient in QA and testing methodologies/concepts with a demonstratable level of expertise
Comfortable working within an Agile framework
Extensive experience with SQL required; knowledge of MySQL, Snowflake preferred
Hands-on experience with ETL/ELT tools and processes, particularly Informatica, or similar platforms, is a plus.
Experience with Python for building ELT pipelines or other scripting languages.
A passion to design and implement single and multi-tenant data solutions using various database design and data modelling techniques.
Experience with CICD toolset such as Jenkins, Jenkinscore, Udeploy, Git, GitHub.

Any combination of the following is a plus:

Hands-on experience with either Azure or AWS cloud concepts and fundamentals
Experience building scalable and robust data solutions for websites using a range of technologies
Business Intelligence development experience with tools such as Tableau, PowerBI, etc.
Development using DevAssist tools

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