Line of Service Advisory Industry Sector Not Applicable Specialism Data Analytics AI Management Level Associate Summary At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals In business intelligence at PwC you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients You will develop and implement creative solutions to optimise business performance and enhance competitive advantage Why PWC At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities This purpose-led and values-driven work powered by technology in an environment that drives innovation will enable you to make a tangible impact in the real world We reward your contributions support your wellbeing and offer inclusive benefits flexibility programmes and mentorship that will help you thrive in work and life Together we grow learn care collaborate and create a future of infinite experiences for each other Learn more At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth To enable this we have zero tolerance for any discrimination and harassment based on the above considerations Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics We focus on a collection of organisational technology capabilities including business intelligence data management and data assurance that help our clients drive innovation growth and change within their organisations in order to keep up with the changing nature of customers and technology We make impactful decisions by mixing mind and machine to leverage data understand and navigate risk and help our clients gain a competitive edge Responsibilities 3 years of experience in implementing analytical solutions using Palantir Foundry preferably in PySpark and hyperscaler platforms cloud services like AWS GCP and Azure with focus on building data transformation pipelines at scale Team management Must have experience in mentoring and managing large teams 20 to 30 people for complex engineering programs Candidate should have experience in hiring and nurturing talent in Palantir Foundry Training candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry At least 3 years of experience with Foundry services Data Engineering with Contour and Fusion Dashboarding and report development using Quiver or Reports Application development using Workshop Exposure to Map and Vertex is a plus Palantir AIP experience will be a plus Hands-on experience in data engineering and building data pipelines Code No Code for ELT ETL data migration data refinement and data quality checks on Palantir Foundry Hands-on experience of managing data life cycle on at least one hyperscaler platform AWS GCP Azure using managed services or containerized deployments for data pipelines is necessary Hands-on experience in working building on Ontology esp demonstrable experience in building Semantic relationships Proficiency in SQL Python and PySpark Demonstrable ability to write optimize SQL and spark jobs Some experience in Apache Kafka and Airflow is a prerequisite as well Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary Experience in MLOps is a plus Experience in developing and managing scalable architecture working experience in managing large data sets Opensource contributions or own repositories highlighting work on GitHub or Kaggle is a plus Experience with Graph data and graph analysis libraries like Spark GraphX Python NetworkX etc is a plus A Palantir Foundry Certification Solution Architect Data Engineer is a plus Certificate should be valid at the time of Interview Experience in developing GenAI application is a plus Mandatory skill sets At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry At least 3 years of experience with Foundry services Preferred skill sets Palantir Foundry Years of experience required Experience 2 to 4 years 2 years relevant Education qualification Bachelor s degree in computer science data science or any other Engineering discipline Master s degree is a plus Education if blank degree and or field of study not specified Degrees Field of Study required Bachelor of Science Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills Palantir Software Optional Skills Accepting Feedback Accepting Feedback Active Listening Business Case Development Business Data Analytics Business Intelligence and Reporting Tools BIRT Business Intelligence Development Studio Communication Competitive Advantage Continuous Process Improvement Data Analysis and Interpretation Data Architecture Database Management System DBMS Data Collection Data Pipeline Data Quality Data Science Data Visualization Emotional Regulation Empathy Inclusion Industry Trend Analysis Intellectual Curiosity Java Programming Language Market Development 11 more Desired Languages If blank desired languages not specified Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date

📌 In Associate Palantir Foundary Data And Analytics Advisory Bangalore (Bengaluru)
🏢 PwC
📍 Bengaluru