IN_Senior Associate_Azure Data Engineer_GCC_Advisory_Bangalore at pwc

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

10 Sep, 26

Salary

0.0

Posted On

12 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Factory, PySpark, Azure Databricks, Azure SQL Database, Data Modeling, Data Warehousing, AI/ML Data Preparation, Metadata-Driven Data Engineering, ETL/ELT, Data Pipeline Development, Azure Cloud, Data Transformation, Performance Optimization, Data Engineering, SQL

Industry

Professional Services

Description

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. *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 about us . 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. Mandatory skill sets: 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 Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Engineering Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android Operating Systems, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 46 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date June 26, 2026 Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

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.