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Design, build, and optimize end-to-end data pipelines on the Azure cloud platform focusing on scalability and performance. Collaborate with data science teams to prepare high-quality datasets for AI/ML and analytics use cases.
Requires 4-8 years of experience as a Data Engineer with mandatory proficiency in PySpark and Azure services. A Bachelor of Engineering degree is required, along with expertise in ETL/ELT processes and data warehousing.
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
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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. "
Role Description
PWC India is seeking a highly skilled Azure Data Engineer with 6 + years of experience to join our team and play a key role in designing, developing, and implementing efficient data solutions on the Azure cloud platform. The ideal candidate should have a strong foundation in data engineering, hands-on expertise with Azure services, solid proficiency in data processing technologies, especially PySpark, and a good understanding of AI-enabled data engineering components that support modern analytics and automation use cases.
Responsibilities
Data Pipeline Development
Design, build, and optimize end-to-end data pipelines on Azure with a focus on scalability, reliability, and performance.
Develop and maintain ETL/ELT workflows to support seamless data ingestion and processing.
Azure Cloud Expertise
Utilize Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks to deliver effective data engineering solutions.
Implement and manage scalable data storage solutions on Azure.
Data Transformation with PySpark
Leverage PySpark for advanced data transformation and processing to ensure high-quality, well-structured outputs.
Implement data cleansing, enrichment, and validation processes using PySpark.
AI-Enabled Data Engineering
Support AI and analytics use cases by preparing, transforming, and curating high-quality datasets for downstream consumption.
Work with modern Azure and Databricks capabilities to enable AI/ML data pipelines, metadata-driven processing, and intelligent automation where applicable.
Collaborate with analytics and data science teams to support model-ready data preparation and scalable feature pipelines.
Performance Optimization
Optimize data pipelines, SQL queries, and PySpark jobs to improve overall performance and scalability.
Identify and resolve performance bottlenecks across data processing workflows.
Proven experience as a Data Engineer, with strong expertise in Azure-based data solutions.
Hands-on experience with Azure Data Factory and other relevant Azure services.
Strong proficiency in PySpark for data processing and analytics is mandatory.
Experience in data modeling, ETL/ELT processes, and data warehousing.
Exposure to AI/ML data preparation, feature engineering pipelines, or AI-enabled data platforms is preferred.
Primary Skill sets:
Azure Data Factory
PySpark
Azure Databricks
Azure SQL Database
Data Modeling and Data Warehousing
AI/ML Data Preparation
Metadata-Driven Data Engineering
Years of experience required:
4 -8 Years
Education qualification:
Btech BE
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Desired Languages (If blank, desired languages not specified)
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com. PwC: Audit and assurance, consulting and tax services PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
Offices: 1 Embankment Place · 300 Madison Ave, New York, NY 10017, US · 1730 Pennsylvania Ave NW, Washington, DC 20006, US · 8 Cross St, Singapore, Singapore 048424, SG · Paseo de la Castellana, 259B, Madrid, Community of Madrid 28046, ES
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com. PwC: Audit and assurance, consulting and tax services PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
Offices: 1 Embankment Place · 300 Madison Ave, New York, NY 10017, US · 1730 Pennsylvania Ave NW, Washington, DC 20006, US · 8 Cross St, Singapore, Singapore 048424, SG · Paseo de la Castellana, 259B, Madrid, Community of Madrid 28046, ES
