IN-Senior Associate_Cloud Data Engineer_Data & Analytics_Advisory_PAN India

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & 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 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. " Responsibilities: Knowledge of SQL language and cloud-based technologies (AWS/Azure/Snowflake/GCP) Data warehousing concepts, data modeling, metadata management Data lakes, multi-dimensional models, data dictionaries Migration to AWS or Azure Snowflake platform Performance tuning and setting up resource monitors Snowflake modeling – roles, databases, schemas SQL performance measuring, query tuning, and database tuning ETL tools with cloud-driven skills Integration with third-party tools Ability to build analytical solutions and models Coding in languages like Python Hadoop, Spark, and other warehousing tools Managing sets of XML, JSON, and CSV from disparate sources Proven track record of data migration and optimization Ability to translate business needs into technical specifications Write, optimize, and troubleshoot SQL queries within the Snowflake environment.

Ensure data security and compliance with industry standards. Collaborate with cross-functional teams to meet data-driven business objectives. Proficient in SQL and familiar with ETL processes Experience with data modeling and cloud computing environments Understanding of data compliance and security best practices Experience in performance tuning and cost optimization in a cloud data platform Mandatory skill sets: AWS/Azure/Snowflake/GCP Preferred skill sets: AWS/Azure/Snowflake/GCP Years of experience required: 3- 10 Years Education qualification: BE, B.

Tech , MCA, M. Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: Master of Engineering Certifications (if blank, certifications not specified) Required Skills Business Analysis Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, 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, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship?

Government Clearance Required? Job Posting End Date April 13, 2026