2 - 5 years
4 - 7 Lacs
Posted:3 days ago|
Platform:
Work from Office
Full Time
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Associate
& Summary
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 purposeled and valuesdriven 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 .
& Summary
Knowledge of SQL language and cloudbased technologies
Data warehousing concepts, data modeling, metadata management
Data lakes, multidimensional 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 clouddriven skills
Integration with thirdparty tools
Ability to build analytical solutions and models
Coding in languages like Python
Managing sets of XML, JSON, and CSV from disparate sources
Snowflake warehousing, architecture, processing, administration
Data ingestion into Snowflake
Enterpriselevel technical exposure to Snowflake applications
Proven track record of data migration and optimization within Snowflake
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 thirdparty tools.
Ensure data security and compliance with industry standards.
Collaborate with crossfunctional teams to meet datadriven 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
Handson experience with Snowflake features like Time Travel and ZeroCopy 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
Preferred skill sets
Snowflake
Years of experience required
2 4 Years
Education qualification
BE, B.Tech , MCA, M.Tech
Education
Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Chartered Accountant Diploma
Degrees/Field of Study preferred
Certifications (if blank, certifications not specified)
Required Skills
Snowflake GenAI
Optional Skills
Apache Airflow, Snowflake (Platform), Snowflake Data Warehouse, Snowflake Schema, Teamwork, Well Being
Travel Requirements
Not Specified
Available for Work Visa Sponsorship
No
Government Clearance Required
No
Date
PwC Service Delivery Center
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
4.0 - 7.0 Lacs P.A.
bengaluru
Experience: Not specified
3.0 - 6.0 Lacs P.A.
8.0 - 13.0 Lacs P.A.
10.0 - 15.0 Lacs P.A.
hyderabad
20.0 - 25.0 Lacs P.A.
3.0 - 6.0 Lacs P.A.
5.0 - 9.0 Lacs P.A.
5.0 - 8.0 Lacs P.A.
hyderabad
5.0 - 9.0 Lacs P.A.
3.0 - 6.0 Lacs P.A.