Sr. Data Modeler
Role details
Job location
Tech stack
Job description
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 pay curtail 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
- 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., * Committed to Serve : We go above and beyond to exceed our customers' expectations.
- Environmentally Responsible: We take action to improve our environment.
- Driven : We deliver results in the right way.
- Human-Centered: We respect the dignity and unique potential of every person.
We are proud of our high employee engagement score of 86. We have an inclusive and diverse culture where every voice counts. In addition, our team positively impacted 4.6 million people in 2023 through the Republic Services Charitable Foundation and local community grants. These projects are designed to meet the specific needs of the communities we serve, with a focus on building sustainable neighborhoods.
STRATEGY
Republic Services' strategy is designed to generate profitable growth. Through acquisitions and industry advancements, we safely and sustainably manage our customers' multiple waste streams through a North American footprint of vertically integrated assets.
We focus on three areas of growth to meet the increasing needs of our customers: recycling and waste, environmental solutions and sustainability innovation.
With our integrated approach, strengthening our position in one area advances other areas of our business. For example, as we grow volume in recycling and waste, we collect additional material to bolster our circularity capabilities. And as we expand environmental solutions, we drive additional opportunities to provide these services to our existing recycling and waste customers.
Recycling and Waste
We continue to expand our recycling and waste business footprint throughout North America through organic growth and targeted acquisitions. The 13 million customers we serve and our more than 5 million pick-ups per day provide us with a distinct advantage. We aggregate materials at scale, unlocking new opportunities for advanced recycling. In addition, we are cross-selling new products and services to better meet our customers' specific 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.
- 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 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.
MINIMUM QUALITIFICATIONS:
- 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.
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.
Benefits & conditions
- 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).
- Paid Time Off (PTO)
- Benefits: https://jobs.republicservices.com/us/en/about-us/benefits
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.