Job Description
As a Data Solution Designer/Engineer, you will be responsible for transforming complex business requirements into efficient technical solutions in our dynamic SRDE Solution Design Team.
Key Responsibilities:
* Analyze and interpret complex business requirements to provide impactful solutions.
* Conduct comprehensive impact analysis and effort estimation.
* Design cross-functional enterprise data solutions ensuring maximum reusability.
* Manage technical governance activities and maintain high-quality technical documentation.
* Engineer data products through sourcing, design, data quality assurance, and efficient placement.
* Define and implement solutions using a variety of technologies, including SAS, Hadoop, Azure, and ETL tools.
* Collaborate with key stakeholders to prioritize and manage requirements.
* Ensure adherence to design principles and align with enterprise standards.
* Support Agile teams in full-stack development processes.
Mandatory Requirements:
* 5+ years of experience in a large, complex Credit Risk and/or Banking environment.
* 10+ years of project and delivery experience in business and technology solutions.
* Advanced proficiency in SQL and SAS (5+ years), including experience with Base SAS, SAS/Macro, SAS DI Studio, SAS Enterprise Guide, and SAS Management Console.
* 5+ years of experience with a diverse technology stack, including Hadoop, Spark, Hive, HBase, Python, Java, Spring Boot, Git, Flink, CosmosDB, Akka, Scala, SQL, Synapse.
* Proven experience with data warehousing, modeling, integration tools, and BI tools.
* Expertise in cloud-based design, especially Azure and serverless architecture.
Preferred Skills and Attributes:
* Strong experience in data analysis and modeling.
* Hands-on experience with the Atlassian toolset: JIRA, Confluence, BitBucket.
* Effective collaboration with various stakeholders.