Pwc
Advisory
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, Data Engineering. Design scalable data pipelines. Develop scalable data pipelines”
What You'll Achieve.
drive insights; make informed business decisions; optimise their operations; achieve their strategic goals; provide strategic insights; drive informed decision-making; optimise business performance; enhance competitive advantage; drive business results; drive innovation; drive growth; drive change; gain a competitive edge; successful delivery of data engineering projects
Industry & Context.
Excellent problem-solving skills; troubleshoot complex technical issues; Analytical Thinking
No Work Visa Sponsorship
What They're Looking For.
Must Have
5-8 years of experience specializing in data services, data architecture, data platforms, hands-on background in data engineering, Spark, PySpark, Python, data engineering technologies, Spark, PySpark, Python, designing and building scalable data pipelines, architectures, data processing and transformation, data warehousing concepts, ETL processes, B. Tech / M. Tech / MCA/MBA
Nice to Have
Databricks, Azure Data Engineering, Amazon Web Services (AWS), cloud-native data engineering on platforms such as Databricks and Azure/AWS, cloud services related to data storage, processing, and analytics (e.g., BigQuery, Redshift, S3, EMR), containerization and orchestration technologies (e.g., Docker, Kubernetes), data visualization tools and techniques, machine learning and data science concepts, Industry certifications related to data engineering or cloud platforms
What You'll Do.
Design scalable data pipelines
Develop scalable data pipelines
Maintain scalable data pipelines
Design scalable data architectures
Develop scalable data architectures
Maintain scalable data architectures
Manage data engineers
Provide technical guidance
Collaborate with cross-functional teams
Understand data requirements
Deliver high-quality data solutions
Ensure data integrity
Implement best practices
Perform documentation
Stay up-to-date with trends
Stay up-to-date with technologies
Work closely with stakeholders
Understand business needs
Translate needs into requirements
Manage project timelines
Manage project resources
Manage project budgets
Ensure successful delivery
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Work closely with stakeholders
Communication Scope
Effective communication skills; written communication; verbal communication
Process & Methodology
Manage project timelines, Manage project resources, Manage project budgets
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 wi
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