[Hiring] Palantir Data Engineer @Capgemini

Role Description

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.

Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Your Profile

• Experience of 4+ years in Palantir Data Engineering.
• Experience in DevOps, Infrastructure as code, DataOps, MLOps.
• Data warehousing, data modelling and data integration for enterprise data environments.
• Experience with ETL tools primarily Talend and/or any other Data Integrator tools (Open source / proprietary).
• Extensive experience with SQL and SQL scripting (PL/SQL & SQL query tuning and optimization) for relational databases such as PostgreSQL, Oracle, Microsoft SQL Server and MySQL.
• Experience on NoSQL like MongoDB and/or document-based databases.
• Experience in programming languages like Python, Pyspark, JavaScript, Java/Scala.
• Provides data services for enterprise information strategy solutions.
• Works with business solutions leaders and teams to collect and translate information requirements into data to develop data-centric solutions.
• Design and develop modern enterprise data-centric solutions (e.g. Palantir, DWH, Data Lake, Data Lakehouse).
• Responsible for designing of data governance solutions.

Your Role

• Design, create and maintain an optimal data pipeline architecture in Foundry.
• Identify, design, and implement internal process improvements in Foundry.
• Palantir scheduling jobs for pipeline, monitoring Data pipeline health and configuring health checks and alerts.
• Good understanding and working knowledge on Foundry Tools: Ontology, Contour, Object-explorer, Ontology-Manager, Object-editor using Actions/Typescript, Code workbook, Code Repository, Foundry ML.
• Responsible for architecture topics and solution scenarios in the areas of Cloud Data Analytics Platform, Data Engineering, Analytics, Reporting.
• Designing viable architectures based on Palantir, Microsoft Azure, AWS, Snowflake, Google (or similar) and implementing analytics.

What you will love about working here

• We recognize the significance of flexible work arrangements to provide support.
• Be it remote work, or flexible work hours, you will get an environment to maintain a healthy work-life balance.
• At the heart of our mission is your career growth.
• Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
• Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Company Description

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.

• It is a responsible and diverse group of 340,000 team members in more than 50 countries.
• With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
• It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering.
• All fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.