PwC
IN-Manager_DataArchitect_DataandAnalytics_Advisory_Bangalore
Neural analysis suggests this role is
optimal for Manager candidates.
“IN-Manager_Data Architect_Data and Analytics_Advisory_Bangalore at PwC. Skills: Data Architecture, Data Engineering, Cloud Platforms, Data Modeling. Architect, Design and implement scalable end-end data solutions. Build and Deploy batch and near real-time use”
Industry & Context.
Analytical thinking; Problem-solving
What They're Looking For.
Must Have
7+ years of hands-on experience in Data Engineering, command over SQL, Python, and PySpark, Deep experience with data & analytics & warehousing and implementation in cloud environments, Proficiency in data modeling techniques for cloud-based systems, Solid understanding of ETL/ELT processes, Experience with dimensional modeling, Performance optimization techniques for cloud-based data warehouses, analytical thinking and problem-solving skills, Spark Certified, Databricks DE Associate/Professional Certified, BE, B. Tech, ME, M, Tech, MBA, MCA (60% above)
Nice to Have
Familiarity with data lake architectures, Data Warehouse experience using Databricks/Snowflake, Knowledge of data warehouse migration strategies to cloud, Experience with real-time data streaming technologies, Exposure to data quality and data governance tools, Snowflake SnowPro Core Certified
What You'll Do.
Design and implement scalable end-end data solutions
Build and Deploy batch and near real-time use
Develop PySpark and Python scripts
Optimize existing Pyspark and SQL scripts
Create and maintain data models
Leverage AI/ML models
Implement data governance and security best practices
Collaborate across teams
How You'll Work.
Team & Collaboration
Across teams
Full Job Description
**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Manager **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](https://www.pwc.in/about-us.html)_ . 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. " **Job Description & Summa
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