IT Data Engineer I MXT

Job Details: The IT Data Engineer I is expected to have foundational proficiency in SQL and ETL processes, with an ability to build simple data transformation scripts. They should understand the basics of data warehousing concepts and start to engage with data governance processes. This role involves basic data pipeline scripting and programming tasks, establishing a groundwork for further development in data engineering disciplines. Essential Duties and Responsibilities: • Develop and maintain SQL-based data pipelines, ensuring efficient ETL processes. • Assist in scripting and programming tasks to support data operations. • Provide support for writing common SQL and calculations within data visualization tools. • Contribute to data warehousing concepts and practices under supervision. • Learn and apply foundational concepts of data architecture and basic visualization principles. • Support basic data security measures, including row-level and column-level security. • Assist in building and deploying basic data visualization solutions, focusing on simplicity and clarity. • Provide assistance in data governance activities to ensure data quality and compliance. • Collaborate with team members and stakeholders to understand requirements for data solutions. • Begin to understand data privacy and security practices to protect sensitive information. • Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice.

The IT Data Engineer I is expected to have foundational proficiency in SQL and ETL processes, with an ability to build simple data transformation scripts. They should understand the basics of data warehousing concepts and start to engage with data governance processes. This role involves basic data pipeline scripting and programming tasks, establishing a groundwork for further development in data engineering disciplines. Essential Duties and Responsibilities: • Develop and maintain SQL-based data pipelines, ensuring efficient ETL processes. • Assist in scripting and programming tasks to support data operations. • Provide support for writing common SQL and calculations within data visualization tools. • Contribute to data warehousing concepts and practices under supervision. • Learn and apply foundational concepts of data architecture and basic visualization principles. • Support basic data security measures, including row-level and column-level security. • Assist in building and deploying basic data visualization solutions, focusing on simplicity and clarity. • Provide assistance in data governance activities to ensure data quality and compliance. • Collaborate with team members and stakeholders to understand requirements for data solutions. • Begin to understand data privacy and security practices to protect sensitive information. • Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice. Qualifications: - Bachelor’s Degree or relevant experience. - Preferred Certification(s): Any relevant IT Certification. - Less than one year of relevant or practical experience.

Qualifications: - Bachelor’s Degree or relevant experience. - Preferred Certification(s): Any relevant IT Certification. - Less than one year of relevant or practical experience. Special Skills: • Proficiency in SQL and basic ETL tools. • Understanding of data warehousing concepts and basic data architecture. • Familiarity with data pipeline orchestration and monitoring. • Initial exposure to big data technologies like Hadoop or Apache Spark. Soft Skills: • Adaptability: Willingness to learn new technologies and adapt to change • Collaboration: Ability to work effectively in cross-functional teams • Communication: Clear and concise communication of technical concepts • Attention to Detail: Meticulous approach to data handling and analysis • Problem-Solving: Analytical thinking for troubleshooting and issue resolution • Time Management: Ability to prioritize tasks and meet deadlines • Curiosity: Eagerness to explore and understand new data concepts.