Software Engineering Advisor [T500-10391]

Location

Secunderabad | India

Job description

ABOUT EVERNORTH:

Evernorth exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don't, won't or can't. Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.

We are always looking upward. And that starts with finding the right talent to help us get there.

Role Title: Software Engineering Advisor

Position Summary:

The Health Services Data Design and Metadata Management team is hiring an Architecture Senior Advisor to work across all projects. The work involves understanding and driving data design best practices, including data modeling, mapping, and analysis, and helping others to apply them across strategic data assets. The data models are wide-ranging and must include the appropriate metadata to support and improve our data intelligence. Data design centers around standard health care data (eligibility, claim, clinical, and provider data) across structured and unstructured data platforms.

Job Description & Responsibilities:

• Perform data analysis, data modeling, and data mapping following industry and Evernorth data design standards for analytics/data warehouses and operational data stores across various DBMS types, including Teradata, Oracle, Cloud, and Hadoop, Databricks and datalake.
• Perform data analysis, profiling and validation, contributing to data quality efforts to understand data characteristics and ensure data correctness/condition for use.
• Participate in and coordinate data model metadata development processes to support ongoing development efforts (data dictionary, NSM, and FET files), maintenance of data model/data mapping metadata, and linking of our data design metadata to business terms, data models, mapping documents, ETL jobs, and data model governance operations (policies, standards, best practices).
• Facilitate and actively participate in data model/data mapping reviews and audits, fostering collaborative working relationships and partnerships with multidisciplinary teams.
• Provide guidance, mentoring, and training as needed in data modeling, data lineage, ddl code, and the associated toolsets (Erwin Data Modeler, Erwin Web Portal, Erwin model mart, Erwin Data Intelligence Suite, Alation). Assist with the creation, documentation, and maintenance of Evernorth data design standards and best practices involving data
• modeling, data mapping, and metadata capture including data sensitivity, data quality rules, and reference data usage. Develop and facilitate strong partnerships and working relationships with Data Governance, delivery, and other data partners. Continuously improve operational processes for data design metadata management for global and strategic data.
• Interact with Business stakeholders and IT in defining and managing data design. Coordination, collaboration, and innovation with Solution Verticals, Data Lake teams, IT & Business Portfolios to ensure alignment of data design metadata and related information with ongoing programs (cyber risk and security) and development efforts.

Experience Required:

• 8+ years' experience with data modeling (logical/physical data model, canonical structures, etc.) and SQL code;

Experience Desired:

• Subject matter expertise level experience preferred
• Experience executing data model/data lineage governance across business and technical data.
• Experience utilizing data model/lineage/mapping/analysis management tools for business, technical and operational metadata (Erwin Data Modeler, Erwin Web Portal, Erwin Model Mart, Erwin Data Intelligence Suite, Alation)Experience working in an Agile delivery environment (Jira, Confluence, SharePoint, Git, etc.)

Education and Training Required:

• Advanced degree in Computer Science or a related discipline and at least six, typically eight or more years' experience in all phases of data modeling, data warehousing, data mining, data entity analysis, logical data base design and relational data base definition, or an equivalent combination of education and work experience.

Primary Skills:

• Physical data modeling, data warehousing, metadata, reference data, data mapping,
• Data mining, teradata, data quality, excellent communication skills, data analysis, oracle,
• Data governance, database management system, jira, ddl, data integration, microsoft , sharepoint, database modeling, confluence, agile, marketing analysis, sharepoint, operations, topo, data lineage, data warehouses, documentation
• Big data, web portal, maintenance, erwin, sql, unstructured data, audit, git, pharmacy
• Dbms, databricks, aws

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