Data Integration Engineer

JOB SCOPE:This position will report directly to the Sr Dir, Technology for Sears Home Services and will support financial platform technology integrations across the Sears Home Services organization.JOB SUMMARY:The Data Integration Engineer is responsible for designing, developing, testing, and deploying data integrations across multiple platforms both within middleware and through API connections. They will work with stakeholders to understand data requirements and develop data models. They will also select and implement the appropriate data integration tools and technologies.Responsibilities/Skills/Experience RequirementsJOB DUTIES/RESPONSIBILITIES:Designs, develops, tests, and deploys data integration solutions with a focus on financial data accuracy and integrity.Collaborates with stakeholders and cross-functional teams in the Finance Business Unit to understand financial data requirements and develops financial data models that can be used for further analysis.Evaluates, selects, and implements appropriate data integration tools and technologies, with a focus on financial data security and efficiency.Develops and executes comprehensive testing plans to ensure the accuracy and reliability of financial data integration solutions.Continuously monitors and troubleshoots data integrations if issues arise.Creates and maintains documentation for financial data integration processes, ensuring compliance with regulatory requirements and facilitating knowledge transfer within the team.Stays updated on industry best practices and emerging technologies in financial data integration.Ensures compliance with financial data regulations and industry standards.Communicates effectively with both technical and non-technical team members to ensure successful implementation of financial data integration projects.REQUIRED SKILLS:Bachelor's degree in Computer Science, Information Systems, or a related field.3+ years of experience in data integration.Experience with SQL, NoSQL, and data warehousing technologies.Experience with data modeling and data quality.Experience with cloud computing platforms (AWS, Azure, GCP).Strong programming skills (Python, Java, etc.).Excellent problem-solving and analytical skills.Ability to work independently and as part of a team.Experience with cloud-based data integration platforms such as AWS Glue or Azure Data Factory.Experience with machine learning and artificial intelligence.PREFERRED SKILLS:Experience with data integration tools such as Boomi, Informatica, or MuleSoft.Experience with big data technologies such as Hadoop and Spark.Years Experience:

2 - 5 Years ExperienceTravel Requirements:

On Occasion (Less than 5%)Country:

United StatesWork-In Address:

REMOTEBusiness:

Transformco Home Services - SupportJob Function:

Information TechnologyEmployment Category:

Regular, Full-time

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