Senior Software Engineer - Snowflake Engineer -080681 Description

About the job you’re considering The successful candidate will design, build, and maintain a robust and scalable data infrastructure to support business intelligence, analytics, and data science initiatives. The responsibility includes managing the end-to-end data lifecycle, including data ingestion, transformation, storage, and accessibility for various stakeholders.

Your role Design, develop, and maintain efficient and scalable data pipelines to extract, transform, and load data from various sources.

Build and maintain data models within the Enterprise Data Warehouse, ensuring data is organized and accessible for analysis and reporting.

Gather business reporting requirements and translate them into technical specifications for data solutions.

Develop and implement ETL/ELT solutions to support data integration needs.

Integrate data from external partner applications and other internal systems.

Develop and support dashboards, analytics, and reports using Power BI.

Perform integration testing to ensure data quality and system functionality.

Design and implement data security measures and access controls.

Collaborate with cross-functional teams to ensure data solutions meet business needs.

Ensure data integrity and accuracy across the EDW solution and source systems.

Provide support for production data environments and troubleshoot data-related issues.

Participate in cutover planning and execution for new data solutions.

Stay up-to-date with industry trends and emerging technologies in data engineering. Your skills and experience Extensive Data Engineering Experience: A minimum of 10+ years of proven experience in Data Engineering is required, including designing, developing, and supporting complex data environments.

Experience in designing, implementing, and optimizing enterprise data warehouses (EDWs) is required.

Expertise in data modeling and schema design (e.g., relational, dimensional) is required to ensure efficient data storage and retrieval.

Snowflake: Hands-on experience with Snowflake data warehousing, including optimization techniques, is required.

A deep understanding and experience with ETL/ELT processes and tools are required.

Matillion and Fivetran HVR: Proficiency with Matillion and Fivetran HVR for building data pipelines is required.

Experience integrating data from various sources using APIs, EDI, SFTP, and other methods is required.

A strong understanding of data modeling principles and best practices is required.

The ability to translate business requirements into efficient data models is required.

Experience implementing data quality checks and validation processes is required.

Familiarity with data governance principles and best practices is required.

Ensuring data security and access controls are implemented and maintained is required.

Experience implementing industry-standard data security measures, including encryption and access controls, is required. Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief