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SAP FS-RI Developer responsible for building and supporting Reinsurance platform, ensuring accurate accounting and seamless integration with SAP S/4HANA Finance and SAP FS-CD, working with cross-functional teams.
Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than…
Farmers Insurance is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve…
Capgemini Government Solutions is hiring a DevOps/API Developer to design CI/CD pipelines, secure REST APIs/microservices, and infrastructure-as-code bridging on-premises data centers with AWS and Azure government cloud. Requires U.S. citizenship with an active Secret clearance, a Security+ CE (or higher) cert, and 3-5 years of experience; base pay is $90k-$100k.
Designs, develops, and configures ServiceNow applications, workflows, and integrations for a federal government customer at Capgemini Government Solutions. Works in Agile/Scrum teams building custom JavaScript-based platform solutions across multiple ServiceNow instances, with adherence to federal security and compliance requirements.
Data engineer supporting Farmers Insurance's direct marketing modeling team: designs and builds ETL pipelines (DBT), cloud data warehouses (Snowflake), and dimensional data models with Python and SQL, plus data quality and governance. Employed via Capgemini as Employer of Record, remote within Mexico.
Builds and maintains data pipelines, warehouses, and BI tools to enable business reporting and decision-making, using SQL, Python, and ETL/ELT platforms in a consulting context.
Data Engineer using Databricks to support business teams and Data Scientists, developing data ingestion/processing pipelines, optimizing and monitoring them, and collaborating on data architecture. Core technologies include Databricks (Delta Lake, SQL, Workflows) and cloud platforms (Azure, AWS, GCP).
Data Engineer BI role responsible for gathering business requirements, designing data pipelines, modeling data for BI, implementing ETL/ELT processes, developing data warehouses, and creating visualizations using tools like Power BI, Tableau, or Qlik. Core technologies include SQL, Python, ETL/ELT solutions, and cloud environments.
Designs and develops robust ETL/ELT pipelines, models data, and ensures quality/security; uses Power BI, Tableau, or Qlik.
Data Engineer Databricks role developing data ingestion flows to Data Lake, optimizing pipelines, and contributing to data extraction and visualization while ensuring data quality and team skill development.
Design and operate ETL/ELT pipelines, datamarts, and data warehouses for reporting using cloud platforms (Azure/AWS/GCP), with focus on data governance and security.
Design and industrialize data pipelines, model data, and develop BI warehouses to power Power BI, Tableau, and Qlik dashboards using SQL, Python, and cloud environments.
Design and deploy robust data pipelines, model BI data, and supervise ETL/ELT flows. Work on cloud environments (Azure/AWS/GCP), utilize BI tools (Power BI, Tableau, Qlik), and support CI/CD deployment industrialization.
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