Line of Service Advisory Industry Sector Not Applicable Specialism Data Analytics AI Management Level Manager Summary At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis You will be responsible for developing and implementing data pipelines data integration and data transformation solutions 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 Design and develop data pipelines using Databricks and PySpark to ingest process and transform large volumes of data Implement ETL ELT workflows to move data from source systems to Data Warehouses Data Lakes and Lake Houses using cloud-native tools Work with structured and unstructured data stored in AWS or Azure Data Lakes Apply strong SQL and Python skills to manipulate and analyze data efficiently Collaborate with cross-functional teams to deliver cloud-based serverless data solutions Design cutting-edge data solutions that address complex business requirements and support data-driven decision-making Maintain documentation and enforce best practices for data architecture governance and performance optimization Mandatory skill sets Databricks PySpark and SQL on any cloud platform AWS or Azure Preferred skill sets ETL Pyspark Years of experience required 4 to 10 Years 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 Degree Master Degree Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills PySpark Optional Skills Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services AWS Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Coaching and Feedback Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System DBMS Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling 32 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-manager Data Engineer (databricks/pyspark)- Data And Analytics Advisory Gurgaon (Gurugram)
🏢 PwC
📍 Gurugram