Description
Job Details
Looking for Data scientist
No H1 visa ( any other)
Client: Fannie Mae
Responsibilities:
Job Information
Senior Data/ML Engineer is responsible for solution engineering of enterprise scale data management best practices. This includes patterns such as - modern data integration frameworks, building of scalable distributed systems using emerging cloud-based data design patterns. This role will be responsible for developing data integration tasks in the data and analytics space. This position will report to Sr. Director of Data Management & Analytics group under Data Operations organization. This is an individual performer role.
Key Job Functions
* Demonstrate expert ability in implementing data warehouse solutions using Snowflake.
* Building data integration solutions between transaction systems and analytics platform.
* Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs.
* Create security policies in Snowflake to manage fine grained access control
* Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting.
* Lead POC efforts to build foundational AI/ML services for Predictive Analytics.
* Building of data products by data enrichment and ML.
* Be a team player and share knowledge with the existing team members.
Qualifications:
Education
* Bachelor s degree in computer science or a related field
Minimum Experience
* Minimum of 6-8 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. CSS does not offer H-1B sponsorship for this position.
Specialized Knowledge & Skills
* Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools.
* Strong scripting experience using Python and SQL
* Working knowledge of foundational AWS compute, storage, networking and IAM.
* Solid scripting experience in AWS using lambda functions. Good to have knowledge of CloudFormation template. Overall experience with AWS services should be over three years.
* Hands on experience with popular cloud-based data warehouse platforms, viz. Redshift, Snowflake.
* Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services
* Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc.
* Experience with AWS SageMaker family of services or similar tools to develop machine learning models.
* Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus
* Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables.
* 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.
* 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.
* 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.
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