Pwc
Not Applicable
SeniorAssociate,DataEngineering,Data&Analytics,Advisory
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Associate, Data Engineering, Data & Analytics, Advisory at Pwc. Skills: Spark, PySpark, Python, Databricks, Azure Data Engineering, Amazon Web Services (AWS). Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.. Lead and manage a team of data engineers, providing technical guidance, mentorship, and performance management.”
What You'll Achieve.
drive insights and make informed business decisions; optimise their operations and achieve their strategic goals; provide strategic insights and drive informed decision-making for clients; optimise business performance and enhance competitive advantage; drive innovation, growth, and change within their organizations; gain a competitive edge; deliver high-quality data solutions; successful delivery of data engineering projects
Industry & Context.
Excellent problem-solving skills and the ability to troubleshoot complex technical issues.; Analytical Thinking
Available for Work Visa Sponsorship? No, Government Clearance Required? No
What They're Looking For.
Must Have
B. Tech / M. Tech / MCA/MBA, Spark, PySpark, Python, data engineering technologies
Nice to Have
Databricks, Azure Data Engineering, Amazon Web Services (AWS), BigQuery, Redshift, S3, EMR, Docker, Kubernetes, machine learning and data science concepts, Industry certifications related to data engineering or cloud platforms
What You'll Do.
and maintain scalable data pipelines and architectures using Spark
Lead and manage a team of data engineers
providing technical guidance
and performance management.
Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
and security across all data engineering projects.
Implement best practices for data engineering
including code reviews
Stay up-to-date with the latest industry trends and technologies in data engineering and cloud computing.
Work closely with stakeholders to understand business needs and translate them into technical requirements.
Manage project timelines
and budgets to ensure successful delivery of data engineering projects.
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.; Work closely with stakeholders to understand business needs and translate them into technical requirements.
Communication Scope
Effective communication skills, both written and verbal.
Process & Methodology
Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects.
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 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 [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 & Summary:** A career within Data and Analytics services will prov
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