Sr Data Modeler

Republic Services, Inc.•Phoenix, AZ

56d

About The Position

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.

Requirements

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, NoSQL databases, ETL tools, geospatial systems, or semantic technology
5+ years of hands-on experience with a MarkLogic framework, DynamoDB 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
5+ years of Web development experience with Angular, JavaScript, and Node.js
Experience with JSON or XML data modeling required
Experience with Git/GitHub, branching, and other modern source code management methodologies required
Domain knowledge of NoSQL or relational database required
Understanding of database architecture and performance implications required
Experience integrating Business Intelligence applications like Qlik Sense, Tableau, or Power BI
Ability to multi-task effectively
Ability to work collaboratively as part of an Agile Team
Extensive knowledge and experience with Python, JavaScript and Java
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).

Nice To Haves

Experience with Machine Learning and Artificial Intelligence

Responsibilities

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
Designs and develops 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
Designs and develops code and data pipelines to ingest relational databases, file shares, and web services
Designs JavaScript modules and REST APIs utilizing MarkLogic to support complex searches
Develops MarkLogic integrations with existing enterprise platforms
Participates in requirements definition, system architecture design, and data architecture design
Participates in all aspects of the software life cycle using Agile development methodologies