IT Data Engineer II

The IT Data Engineer II advances by incorporating data architecture principles to design and propose data solutions that may require architecture reviews. They have a solid understanding of data pipeline orchestration, including developing solutions that manage data flow sequences with appropriate monitoring. Their skill set includes developing in big data technologies and enhancing their theoretical knowledge of data warehousing in an analytics environment.
Essential Duties and Responsibilities:
• Design, implement, and optimize data pipelines with a strong focus on SQL and scripting.
• Develop and maintain ETL processes and contribute to data warehousing solutions, including understanding star schema and Kimball or Snowflake methodologies.
• Write and optimize SQL and calculations within data visualization tools to enhance data models and performance.
• Enforce data governance policies and ensure compliance with data security standards.
• Build, deploy, and support data visualization solutions that effectively communicate data insights.
• Collaborate with stakeholders to understand their requirements and deliver intuitive, visually appealing dashboards.
• Participate in cloud cost optimization efforts, ensuring efficient use of cloud resources.
• Contribute to the development of data architecture and support data streaming initiatives.
• Implement basic data pipeline orchestration and assist in integrating big data technologies.
• Communicate and collaborate with key internal stakeholders to align data solutions with business needs.
• Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice.
Qualifications:
Education: Bachelor's Degree or relevant experience.
Preferred Certification(s): Any relevant IT Certification.
Experience: 1+ years 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:
• Initiative: Proactively identifying and proposing data solutions.
• Teamwork: Collaborating effectively with stakeholders across departments.
• Communication: Ability to explain complex data concepts to non-technical audiences.
• Critical Thinking: Analyzing data architecture needs and proposing improvements.
• Adaptability: Quickly learning and applying new big data technologies.
• Time Management: Balancing multiple projects and priorities effectively.
• Attention to Detail: Ensuring data accuracy and quality in all processes.

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