FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.
We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.
Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.
What to expect on your journey with us:
- A solid and innovative company with a strong market presence
- A dynamic, diverse, and multicultural work environment
- Leaders with deep market knowledge and strategic vision
- Continuous learning and development
The Direct modeling team is focused on creating models to guide enterprise marketing decision that will help to promote brand awareness as well as boost sales through direct channel. This role will help the team to design, set up, and monitor the data ecosystem that's needed to support the modeling needs. Tasks include, but not limited to, setting up data pipelines and design efficient data storage solutions.
Responsibilities.
Data infrastructure development:
- Pipeline Design and Development; Architects and builds scalable data pipelines using modern ETL (Extract, Load, Transform) tools and frameworks such as DBT (Data Build Tool), or similar.
- Automates data ingestion processes from various sources including databases, APIs, and third party services.
- Data Storage and Management - Designs and implements data warehousing solutions using platforms like Snowflake, Redshift, or BigQuery.
- Optimizes storage solutions for performance, cost efficiency, and scalability.
Data modeling and transformation:
- Data Modeling - Develops and maintains logical and physical data models to support business analytics.
- Creates and manages dimensional models, star/snowflake schemas, and other data structures.
- Data Transformation - Transforms raw data into clean, organized, and analytics-ready datasets using SQL, Python, or other relevant languages.
- Implements data transformation workflows to handle data cleansing, normalization, and enrichment.
- Data Quality Assurance - Conducts data validation and consistency checks to ensure the accuracy and reliability of data. Implements data quality monitoring and alerting mechanisms.
Collaboration and stakeholder management:
- Cross-Functional Collaboration - Works closely with data analysts, data scientists, and business stakeholders to gather requirements and understand their data needs.
- Acts as a liaison between technical teams and business units to translate business requirements into technical specifications.
Data governance and security knowledge:
- Governance Policies Implements and enforces data governance policies to ensure data privacy, security, and compliance with relevant regulations.
- Defines and manages data access, controls, permissions, and audit trails.
- Security Measures - Monitors and enforces data security measures to protect sensitive information from unauthorized access and breaches.
- Ensures compliance with industry standards and regulations such as GDPR, CCPA, or HIPAA and others as applicable.
Requirements
- 4+ years working with Python and SQL
- Data Transformation
- Data Quality Assurance
- Pipeline Design and Development
- Technical Communication
- Experience working with DBT and SnowFlake
- Experience working with Data Governance
Nice to Have
- Experience working with Databricks
Benefits
This position comes with a competitive compensation and benefits package.
- A competitive salary and performance-based bonuses.
- Comprehensive benefits package.
- Flexible work arrangements (remote and/or office-based).
- You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
- Private Health Insurance.
- Paid Time Off.
- Training & Development opportunities in partnership with renowned companies.
Skills Required
- 4+ years working with Python and SQL
- Data Transformation
- Data Quality Assurance
- Pipeline Design and Development
- Technical Communication
- Experience working with DBT
- Experience working with Snowflake
- Experience working with Data Governance
- Experience working with Databricks
Capgemini Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Capgemini and has not been reviewed or approved by Capgemini.
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Healthcare Strength — Health coverage is positioned as comprehensive, spanning medical, dental, and vision alongside life and AD&D options. Additional wellbeing supports like employee assistance programs, gym discounts, and pet insurance broaden the value beyond core insurance.
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Parental & Family Support — Family-related benefits include maternity/paternity leave and broader family-forming support such as fertility and surrogacy assistance in some locations. Inclusive caregiving supports like back-up child and elder care and out-of-state medical travel are also highlighted.
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Equity Value & Accessibility — Equity participation is available through recurring employee share ownership or purchase programs, creating a longer-term wealth-building option in addition to salary. Eligibility and local access can vary, so confirming participation windows and requirements is important.
Capgemini Insights
What We Do
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 270,000 team members in nearly 50 countries. With its strong 50 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 reported in 2020 global revenues of €16 billion.
