Pwc
IN_SeniorAssociate_DBTDataEngineer,SQL,Snowflake_DataandAnalytics_Advisory_Bangalore
Neural analysis suggests this role is
optimal for Senior Associate candidates.
“IN_Senior Associate_ DBT Data Engineer, SQL, Snowflake_Data and Analytics_Advisory_Bangalore at Pwc. Skills: Data Engineering, SQL, Python, PySpark, Cloud Data Warehousing. Design scalable data pipelines. Implement data pipelines”
Industry & Context.
Analytical thinking; Problem-solving skills
What They're Looking For.
Must Have
5+ years of hands-on experience in Data Engineering, command over SQL, Python, and PySpark, Deep experience with data warehousing concepts, Proficiency in data modeling techniques, Solid understanding of ETL/ELT processes, Experience with dimensional modeling, analytical thinking and problem-solving skills
Nice to Have
Familiarity with data lake architectures, Familiarity with Databricks Data Warehouse, Familiarity with Snowflake Data Warehouse, Knowledge of data warehouse migration strategies, Experience with real-time data streaming technologies, Exposure to data quality and data governance tools, Understanding of data virtualization, Understanding of performance optimization techniques, Apache Airflow experience
What You'll Do.
Design scalable data pipelines
Implement data pipelines
Write optimized SQL queries
Develop Python scripts
Develop PySpark scripts
Implement data governance
Implement security best practices
Translate business requirements
How You'll Work.
Team & Collaboration
Collaborate across teams
Full Job Description
**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](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 Descriptio
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