Senior Data Modeler III

The Data Modeler III is a hands‑on technical role focused on full stack software development within the Enterprise Data organization. The role will play a crucial part in shaping future big data and analytics initiatives.

• Design and implement Medallion Architecture, dimensional models (Star/Snowflake schemas), and metadata‑driven modeling approaches for enterprise data warehouses
• Develop canonical and semantic data models with effective SCD handling techniques that align with business requirements and analytical needs
• Write and optimize advanced SQL queries in Snowflake (or similar platforms) to ensure efficient data processing and warehouse performance
• Align data models with ELT/ETL pipelines and analytics frameworks to create scalable data structures that grow with business demands
• Design and develop code and data pipelines to ingest from relational databases (Oracle, SQL Server, DB2, Aurora), file shares, and web services
• Streaming ingestion with Kinesis Streams, Kinesis Firehose, Kinesis Analytics and Kafka (MSK)
• Build Data Lake on AWS S3 with optimal performance considerations by partitioning and compressing data.
• Data Engineering and Analytics using AWS Glue, Informatica, EMR, Spark, Athena, Python
• Data modeling and building Data Warehouse using Snowflake
• Design and develop code and data pipelines to ingest relational databases, file shares, and web services
• Develop Mark Logic integrations with existing enterprise platforms
• Participates in all aspects of the software life cycle using Agile development methodologies

• 5+ years’ experience with data modeling tools like ERWIN, Lucid, sqlDBM
• 7+ years of experience in Enterprise Information Solution Architecture, Design, and Development required
• 7+ years of experience with integration architecture such as SOA, Microservices, ETL or other integration technologies
• 7+ years of experience with working content or knowledge management systems, search engines, relational databases, No
  
  SQL databases, ETL tools, geospatial systems, or semantic technology
• 5+ years of hands‑on experience with a Mark Logic framework, Dynamo
  
  DB preferred
• 5+ years of hands‑on experience with AWS services (S3, Kinesis, Lambda, Athena, Glue, EMR) required
• 5+ years of analytics tools like SAS, R, Python, and other advanced statistical software
• Experience with JSON or XML data modeling required
• Experience with Git/Git Hub, branching, and other modern source code management methodologies required
• Domain knowledge of No
  
  SQL or relational database required
• Understanding of database architecture and performance implications required
• Experience integrating Business Intelligence applications like Qlik Sense, Tableau, or Power BI
• Experience with Machine Learning and Artificial Intelligence
• Ability to multi‑task effectively
• Ability to work collaboratively as part of an Agile Team
• Excellent written and verbal communication skills, sense of ownership, urgency and drive.

• Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Statistics or closely related field (willing to accept foreign education equivalent) (required).
• Experience in AWS services for data and analytics (required).
• 5 years of experience in Data Ingestion, Data Extraction, and Data Integration (required).

The statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required by an incumbent so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company.

• Comprehensive medical benefits coverage, dental plans and vision coverage.
• Health care and dependent care spending accounts.
• Short‑and long‑term disability.
• Life insurance and accidental death & dismemberment insurance.
• Employee and Family Assistance Program (EAP).
• Employee discount programs.
• Retirement plan with a generous company match.
• Employee Stock Purchase Plan (ESPP).

EEO STATEMENT:
Republic Services is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, relationship or association with a protected veteran (spouses or other family members), genetic information, or any other characteristic protected by applicable law.