Senior Data Engineer

This position is a remote opportunity and our client is seeking an experienced Senior Data Engineer who can built and operates the largest and most advanced mortgage securitization platform in the world and would be responsible for supporting the Uniform Mortgage-Backed Security (UMBS). Supporting 70% of the mortgage-backed securities in the market, client provides best-in-class single-family issuance, bond administration, disclosure, and tax services. We support a broad portfolio of products for our clients with full lifecycle management. Our market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market, one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists. Education:

• Bachelor's degree in Computer Science or a related field

• Minimum of 5 years of experience in building data driven solutions.
• Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. Our client does not offer visa sponsorship for this position.

• Expertise in real-time data solutions, good to have knowledge of streams processing, Message Oriented Platforms, ETL/ELT Tools, NoSQL and in-memory database solutions
• Deep knowledge of AWS Cloud environment. AWS architecture certification is desired.
• Solid scripting experience in AWS using Cloud Formation Templates and lambda functions.
• Strong scripting experience on object-oriented programming, viz. Python, Java
• Hands on experience with popular cloud-based data warehouse platforms, viz. Redshift, Snowflake.
• Overall experience with AWS services should be over three years.
• Experience with one or more data integration tools viz. Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc.
• Strong understanding of data security authorization, authentication, encryption, and network security.
• A good understanding of container technology using AWS EKS or Kubernetes in general
• Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services
• Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables.
• Demonstrated experience in data management with a strong understanding of process re/design.
• Strong communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts.
• Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions.
• Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions.
• Ability to lead collaborative meetings which result in clearly documented outcomes, a concrete understanding of meeting attendee performance/reliability, and ongoing management & follow-up for action items.
• Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures.