Data Engineer (Hybrid Onsite In Phoenix)

The leading software product company which has been in business for over 25 years is looking for a Data Engineer to add to their team. You will play a key role in designing, implementing, and maintaining data infrastructure and processes critical to our business operations. You will be responsible for creating efficient ETL (Extract, Transform, Load) processes in Azure Data Factory, managing and collaborating with both IT and Business stakeholders to fulfill new data requests and ensure data quality and integrity. If you are passionate about data engineering, enjoy and eager to take on new challenges, we encourage you to apply and join our team!

• Please note, this is an hybrid (3 days WFH) role; remote candidates cannot be considered at this time.*

Key Responsibilities:

• Design, develop, and maintain ETL processes using Azure Data Factory to extract, transform, and load data from various sources into our data warehouse.
• Collaborate with IT and Business stakeholders to understand data requirements and translate them into technical solutions.
• Structure and optimize data in the data warehouse and other application systems to ensure scalability, efficiency, and reliability.
• Implement data quality checks and validation processes to ensure accuracy and completeness of data.
• Stay up-to-date with emerging technologies and best practices in data engineering and recommend improvements to enhance data infrastructure and processes.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 4-5+ years of proven experience designing and building data solutions.
• Strong proficiency in SQL and experience with database technologies
• Hands-on experience coding in Python
• Familiarity with data modeling concepts and techniques.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

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