Sr. Data Modeler

Republic Services

1d•Remote

About The Position

The Sr. Data Engineer / Data Modeler is a hands-on technical role focused on full stack development within the Enterprise Data organization. The role will play a crucial part in shaping future big data and analytics initiatives. This role is primarily remote; however, candidates should be located within commuting distance of our Phoenix office. Occasional in-person attendance may be required for team meetings, training, or business needs.

Requirements

Experience adopting and championing AI-assisted development practices within a team, including establishing guardrails for responsible use, and coaching engineers to use AI assistance effectively without compromising code quality or security standards
5+ years’ experience with data modeling tools like sqlDBM, ERWIN, Lucid
7+ years of experience in Enterprise Information Solution Architecture, Design, and development required.
7+ years of experience with integration architectures 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 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/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 with Machine Learning and Artificial Intelligence.
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).

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.
Participates in requirements definition, system architecture design, and data architecture design.
Participates in all aspects of the software life cycle using Agile development methodologies.