Job Description

Line of Service Advisory
Industry/Sector Not Applicable
Specialism Data, Analytics & AI
Management Level Manager
& 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
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:

• Design, develop, and maintain scalable ETL/ELT pipelines o Ingest data from various sources (APIs, databases, files, etc.) o Implement both real-time and batch processing solutions based on use case requirements o Ensure data quality through validation and cleansing processes o Collaborate with Product Managers and Business Stakeholders to gather and understand data requirements o Translate business needs into technical specifications o Ensure data security, access control, and compliance with relevant policies o Maintain documentation and follow best practices for data engineering. The candidate should be serving notice with LWD in the next 3 weeks

Mandatory skill sets:
AWS, Snowflake, Kafka, Airflow, GitHub, PySpark
Preferred skill sets:
AWS, Snowflake, Kafka, Airflow, GitHub, PySpark
Years of experience required:
4-8 years of hands-on experience with Snowflake, Airflow and Pyspark in any cloud platform (AWS/Azure/GCP)
Education qualification:
o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor Degree
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills AWS Development, Data Architecture, Snowflake (Platform)
Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 21 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements Not Specified
Available for Work Visa Sponsorship? No
Government Clearance Required? No
Job Posting End Date

Skills Required