Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses for moderate scenarios. Ensures the data is in a ready-to-use form that creates a single version of the truth across all data consumers, including business/technology users, reporting and visualization specialists and data scientists. Utilizes skills to translate business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks. Works independently with various technologies from big data, relational and non-relational databases, cloud environments, different programming languages and various reporting tools. Is beginning to provide coaching to junior associates.

Consults on data projects of varying complexity, with minimal coaching and guidance, to understand design requirement and existing business processes to lead in the design, development, and implementation of data products. Practices code management and integration with current architectural and data governance guidelines with minimal oversight. Produces advanced data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research & exploration independently. Creates business user access methods to structured and unstructured data. Utilizes techniques such as mapping data to a common data model, natural language processing, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation of data content. Translates business data stories into a technical story breakdown structure and work estimate for a schedule or planned agile sprint. Projects are advanced with interaction across multiple dependencies. Coaching and assistance required on an as needed basis. Develops and maintains advanced to complex scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support increased demands of data volume and complexity. Preps/cleanses data to optimize for downstream reporting via Farmers standard visualization or AI/ML tools with coaching and assistance as requested. Applies extensive knowledge of data governance concepts and applies them across multiple scenarios. Delivers on complex projects with some vague timelines. Develops data project plans and executes independently. Performs other duties as assigned.

Requirements

AWS Glue, S3, Lamda, Dynamo DB - Advanced

Snowflake, Power BI, Data warehousing - Advanced

Python Programming - Advanced

Data Modelling - Advanced

Benefits

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

https://www.capgemini.com/us-en/about-us/who-we-are/