Pwc
Advisory
SeniorAssociate,DataEngineering
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Associate, Data Engineering at Pwc. Skills: Spark, PySpark, Python, Data Engineering. Design, develop, and maintain scalable data pipelines. Lead and manage a team of data engineers”
What You'll Achieve.
Deliver high-quality data solutions; Successful delivery of data engineering projects
Industry & Context.
Excellent problem-solving skills; Ability to troubleshoot complex technical issues
What They're Looking For.
Must Have
5-8 years of experience specializing in data services, data architecture, and data platforms, Hands-on background in data engineering, Spark, PySpark, Python, Data engineering technologies, Data processing and transformation, Data warehousing concepts, ETL processes, Problem-solving skills, Leadership and team management skills, Effective communication skills
Nice to Have
Experience with cloud-native data engineering on platforms such as Databricks and Azure/AWS, Familiarity with cloud services related to data storage, processing, and analytics (e.g., BigQuery, Redshift, S3, EMR), Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes), Experience with data visualization tools and techniques, Familiarity with machine learning and data science concepts, Industry certifications related to data engineering or cloud platforms
What You'll Do.
and maintain scalable data pipelines
Lead and manage a team of data engineers
Collaborate with cross-functional teams
Implement best practices for data engineering
Stay up-to-date with industry trends
Translate business needs into technical requirements
Manage project timelines
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams to understand data requirements; Work closely with stakeholders to understand business needs
Communication Scope
Effective communication skills, both written and verbal
Process & Methodology
Manage project timelines, Manage resources, Manage 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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