Job Description

Line of Service Advisory
Industry/Sector Not Applicable
Specialism Data, Analytics & AI
Management Level Senior Associate
& 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.
Responsibilities:
: Knowledge of SQL language and cloud-based technologies 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 Snowflake warehousing, architecture, processing, administration Data ingestion into Snowflake Enterprise-level technical exposure to Snowflake applications Proven track record of data migration and optimization within Snowflake Ability to translate business needs into technical specifications Design and implement scalable and efficient data storage solutions using Snowflake. Write, optimize, and troubleshoot SQL queries within the Snowflake environment. Integrate Snowflake with various data sources and third-party tools. Ensure data security and compliance with industry standards. Collaborate with cross-functional teams to meet data-driven business objectives. Stay updated with the latest Snowflake features and best practices. Proficient in SQL and familiar with ETL processes Experience with data modeling and cloud computing environments Hands-on experience with Snowflake features like Time Travel and Zero-Copy Cloning Understanding of data compliance and security best practices
Experience in performance tuning and cost optimization in a cloud data platform Familiarity with BI tools integration, such as Tableau.
Mandatory skill sets:
Snowflake & SQL
Preferred skill sets:
Snowflake & SQL
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, Bachelor of Technology
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills Snowflake (Platform)
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, 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

Skills Required