- Location
- Gurugram 10 C, India
- Type
- Full-time
- Department
- Management
- Seniority
- Entry
- Education
- Master
- Clearance
- Not required
- Closing date
- Today
- Source
- Workday
Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
AssociateJob Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Responsibilities:
Design, develop, and optimize ELT/ETL pipelines using Snowflake and other data integration tools.
Build and maintain scalable, performant, and secure data warehouse solutions on Snowflake.
Collaborate with data scientists, analysts, and business teams to understand data requirements and translate them into technical solutions.
Develop and optimize SQL queries, views, and stored procedures within Snowflake.
Manage data ingestion from various sources such as batch, streaming, APIs
Implement and enforce data quality, data governance, and security best practices.
Monitor performance and optimize Snowflake environments for cost and efficiency.
Automate deployment and testing processes using CI/CD pipelines.
Troubleshoot and resolve data issues and performance bottlenecks.
Stay updated with the latest Snowflake features, data engineering trends, and best practices.
Qualifications:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
Proven experience (typically 5+ years) as a Data Engineer working with Snowflake.
Strong proficiency in SQL and experience with Snowflake-specific SQL features.
Experience with data integration tools such as Apache Airflow, dbt, Talend, Informatica, or similar.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience with programming languages like Python, Scala, or Java for data processing and orchestration.
Mandatory skill sets:
Snowflake
Preferred skill sets:
Snowflake
Years of Experience Required:
6 to 9 years
Education Qualification:
BE, B.Tech, MCA, M.Tech, MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
AWS Cloud ComputingOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
April 15, 2026