Data Integration Specialist

4 weeks ago

Owings Mills, Maryland, United States RadNet Full time
Job Summary

The Data Transformation Engineer is responsible for designing, building, and maintaining the organization's data transformation processes. They work closely with stakeholders to understand business requirements and develop solutions that ensure data is accurate, accessible, and secure.

Key Responsibilities:

  • Design and develop data transformation processes to move and transform data from source systems to data warehouses or data lakes.
  • Collaborate with data engineers and database administrators to ensure that data transformation processes align with business requirements and data infrastructure.
  • Develop and maintain documentation of data transformation processes and data flows.
  • Monitor and optimize data transformation process performance to ensure it meets business requirements and SLAs.
  • Ensure that data transformation processes are secure, compliant, and adhere to data governance policies and procedures.
  • Evaluate and recommend new data transformation technologies and tools that can enhance data transformation processes and support business requirements.
  • Work with data analysts and business intelligence engineers to ensure that data is available and accessible for analysis and reporting.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Three (3) plus years of experience in data transformation development, including experience with data transformation tools such as Informatica, ODI, or SSIS.
  • Experience with database systems, SQL, and programming languages such as Python, Java, C#, R.
  • Strong knowledge of data management best practices, data integration patterns, and data quality principles.
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork skills.
  • In addition to the above qualifications, experience with SSMS, SSIS, SSAS, SSRS and Self-Service BI tools are highly recommended.
  • The Data Transformation Engineer should also be able to work independently and as part of a team, and have a passion for learning new technologies and staying up-to-date with industry trends.

Quality Standards:

  • Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, patients, visitors, and vendors.
  • Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.
  • Follows all local, state and federal laws concerning employment to include but not limited to: I-9, Harassment, EEOC, Civil rights and ADA.
  • Follows OSHA regulations, RadNet and site protocols, policies and procedures.
  • Follows HIPAA, compliance, privacy, safety and confidentiality standards at all times.
  • Practices universal safety precautions.
  • Promotes good public relations on the phone and in person.
  • Adapts and is willing to learn new tasks, methods, and systems.
  • Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with RadNet guidelines.
  • Consistently adheres to the time management policies and procedures.
  • Completes job responsibilities in a quality and timely manner.

Physical Demands:

  • This position often requires sitting, standing, walking, bending, twisting reaching with hands and arms, using hands and fingers, handling, constant talking, and hearing, speaking, and listening.
  • Visual acuity to read computer screens and written materials.
  • The position requires the ability to travel (~10% of time), drive a vehicle, and utilize other forms of transportation.

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