Capgemini

Global consulting, technology services, outsourcing

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

At least 4 years of experience 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 or other data integration tools, including open-source or proprietary tools.
Extensive experience with SQL and SQL scripting, including PL/SQL and query tuning and optimization, for relational databases such as PostgreSQL, Oracle, Microsoft SQL Server, and MySQL, and with NoSQL or document-based databases such as MongoDB.
Experience with programming languages such as Python, PySpark, JavaScript, Java, or Scala.
Good understanding and working knowledge of Foundry tools: Ontology, Contour, Object Explorer, Ontology Manager, Object Editor using Actions and TypeScript, Code Workbook, Code Repository, and Foundry ML.

Responsibilities

Provide data services for enterprise information strategy solutions by working with business solutions leaders and teams to collect and translate information requirements into data and develop data-centric solutions.
Design and develop modern enterprise data-centric solutions, such as Palantir, data warehouses, data lakes, and data lakehouses, and design data governance solutions.
Design, create, and maintain an optimal data pipeline architecture in Foundry.
Identify, design, and implement internal process improvements in Foundry.
Schedule Palantir pipeline jobs, monitor data pipeline health, and configure health checks and alerts using data expectations.
Address architecture topics and solution scenarios in cloud data analytics platforms, data engineering, analytics, and reporting; design viable architectures using Palantir, Microsoft Azure, AWS, Snowflake, Google, or similar platforms, and implement analytics.

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, Infrasturcure as a 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 etc., and on NoSQL like MongoDB and/or document-based databases. Experience in programming languages like Python, Pyspark, JavaScript, Java/ Scala etc.
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. (Data expectations).
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 and 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 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.

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.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size: 10,001+
Company stage: IPO
Headquarters: Paris, France
Founded: 1967

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