Data Engineer I

GENERAL PURPOSE OF THE JOB:

The Data Engineer I designs, develops, tests, implements, troubleshoots, optimizes and maintains enterprise level data pipelines that implement complex processes, which reference a targeted centralized data warehouse and source systems. The incumbent analyzes data transformation requirements leveraged to build, refine, deploy and/or configure data pipeline architecture patterns that maximize reuse and minimize change impact. The data engineer I utilizes SQL, tools, and/or technology to implement robust, maintainable solutions that meet business and technical requirements.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Obtains knowledge around the Amazon Web Service (AWS) tooling, mapping design, architectural design, coding, implementation, performance tuning and debugging.
• Develops data extracts, applications and ad-hoc queries using toolslanguages deemed necessary.
• Obtains a strong understanding of data pipeline design principles required in building an enterprise data warehouse environment and/or app-to-app pipelining.
• Creates SQL queries required to access tabular structures in a Relational Database Management Systems (RDBMS).
• Transforms functional specifications into data pipeline technical specifications and source to target mappings.
• Communicates effectively with Business Analysts, Data Modelers and Solution Architects to convert the pipeline design into specific development activities.
• Documents data pipeline processes thoroughly, including steps needed to migrate pipeline and/or database objects between various environments including Development, UAT, and Production.
• Performs unit and integration testing activities and assists in user acceptance testing as needed.
• Works with a mentor to further knowledge of data management and pipelining principles.
• Performs other related work as assigned.

SUPERVISORY RESPONSIBILITIES:

Direct Reports: None

General Description of Indirect Reports (2 and 3-downs): None

EDUCATION AND/OR EXPERIENCE:

• Bachelor's degree in Computer Science, MIS, Mathematics, Information Management, or related field of study; or equivalent combination of education and/or experience.

KNOWLEDGE, SKILLS AND ABILITIES:

• General knowledge of ETL and data movement.
• Knowledge of basic data transformations and how to implement them in a hybrid cloud environment.
• Basic understanding of SQL Scripting and/or another programming language.
• Base knowledge of RDBMS and data warehouse tools including SQL Server and Snowflake.
• Strong analytical and problem-solving skills.
• Ability to work with various data frameworks.
• Strong customer service orientation.
• Effective verbal and written communication skills.
• Mathematical skills and strong attention to detail.
• Ability to work cooperatively and successfully with employees, customers, and other outside third parties.
• Strong organizational and planning skills.
• Ability to write reports, business correspondence, and procedure manuals.
• Ability to effectively present information and respond to questions.
• Ability to define problems, collect data, establish facts, and draw valid conclusions.
• Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.
• Ability to successfully handle pressure and meet deadlines in a fast-paced work environment.