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This job was posted by https://www.kansasworks.com : For more information, please see: https://www.kansasworks.com/jobs/12975986

In this role, you will be highly involved working on creating foundational data models and data products within our data warehouse which supports various business and product reporting needs. In your day-to-day you will be working in a squad consisting of data engineers, analysts, software engineers, and product managers.

The Work:

• Develop and maintain product-specific data pipelines to ensure the timely and accurate flow of data from various sources to our Databricks platform.
• With the guidance of technical peers, learn to work with business and other cross-functional team members to identify, integrate, and distribute data data from sources to destinations.
• Work on project squads adhering to project management best practices and participating in scrum ceremonies
• Gain an understanding of data usage patterns and requirements within the organization to design and implement appropriate data models in the data warehouse, ensuring compliance with industry regulations.
• Utilize Databricks and AWS/GCP services to manage, store, and process data, ensuring optimal performance, security, and scalability while adhering to data protection standards.
• Leverage orchestration tools, such as Databricks Workflows or Airflow, to orchestrate and monitor data pipelines, ensuring seamless integration, data quality, and compliance with regulatory requirements.
• Implement data transformation and validation processes using dbt and SQL to ensure data accuracy, consistency, and regulatory compliance across the organization.
• Continuously monitor, troubleshoot, and optimize data pipelines to ensure data reliability, performance, and adherence to best practices and industry regulations
• Stay current with industry trends, emerging technologies, and regulatory changes to ensure the company remains at the forefront of data engineering best practices in the compliance and AML space.

Qualifications

• 0-2+ years of experience in data, or backend engineering roles
• Bachelor\'s degree in Computer Science, Engineering, or a related field.
• Some understanding of data engineering concepts such as orchestration & pipelining, data modeling, streaming and warehousing
• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Eagerness to learn new technologies and adapt to industry trends and changes

For US-based roles only: the anticipated hiring base salary range for this position is\$106,600.00-\$154,600.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody\'s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.\ \ Moody\'s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody\'s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application proce s, please email <accommodations@moodys.com>. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

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