Data Engineer-Palantir Foundry-Senior Associate
Pwc (Crm Experienced Careers Site) Open At a glance
Senior Data Engineering role at Pwc (Crm Experienced Careers Site). Bangalore · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build data solutions that turn raw information into useful insights, including pipelines and data lakes
- Analyze large datasets with statistical methods, exploratory analysis, predictive models and machine learning
- Create visualizations and apply data science techniques to support client decisions and business problems
- Work with clients to shape data solutions, check data quality and guide junior colleagues through technical work
What you bring
- You have a bachelor's degree or higher and at least four years of experience
- You can communicate in English in both spoken and written work
- You have hands-on data engineering experience with Palantir Foundry
Who this fits
This senior associate role suits someone ready to deepen technical skills, build client relationships and mentor junior teammates. You’ll work from Bangalore as part of the India-based team.
From the employer
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a Data Engineer-Palantir Foundry-Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision-making. You will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow.
In this role at PwC Acceleration Center India, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will be part of a team that focuses on building client relationships and developing a deeper understanding of the business context, using your skills to deliver impactful solutions.
Responsibilities
- Designing and developing robust data solutions to transform raw data into actionable insights
- Leveraging advanced analytics and statistical techniques to extract insights from large datasets
- Conducting exploratory and descriptive analysis to solve complex business problems
- Creating data visualizations to inform strategic decisions and drive business growth
- Utilizing data science algorithms and machine learning techniques to enhance data-driven decision making
- Building and maintaining data pipelines and data lakes to support data engineering processes
- Applying programming languages such as C++, R, and MATLAB for data modeling and analysis
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Implementing data quality measures to validate data integrity and accuracy
- Engaging in predictive modeling and natural language processing to advance analytical capabilities
- Mentoring junior team members and guiding them in data science workflows and troubleshooting
- Adapting to changing business contexts and developing a deeper understanding of industry trends
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
- Oral and written proficiency in English required
- Hands-on experience with Palantir Foundry data engineering
What Sets You Apart
- Experienced in building Ontology-ready data products in Palantir Foundry for operational applications, dashboards, workflows, AI/ML, and data science teams.
- Skilled with Palantir AIP, AI-enabled workflows, model development, feature engineering, and data products supporting GenAI use cases.
- Proficient in Palantir Application Development tools like Workshop, Quiver, Slate, Functions, Actions, and creating user-facing operational workflows.
- Knowledgeable in API integration, event-based ingestion, streaming data, SFTP, JDBC/ODBC connectivity, and automated data ingestion patterns.
-Familiar with CI/CD, automated testing, data observability, alerting, production support, incident management, and strong stakeholder communication and problem-solving skills
Travel Requirements
Not SpecifiedJob Posting End Date
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