Pwc
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, Data Platforms, Cloud Data Engineering. 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.
enable accuracy and accessibility for effective decision-making; optimise the quality, integrity, and security of data; optimising data management processes; mitigate risks associated with data usage; help organizations uncover enterprise insights and drive business results using smarter data analytics; drive innovation, growth, and change within their organizations; gain a competitive edge
Industry & Context.
Excellent problem-solving skills; ability to troubleshoot complex technical issues
No Work Visa Sponsorship, No Government Clearance Required
What They're Looking For.
Must Have
Spark 3.0, data engineering technologies, Spark, PySpark, Python, data processing and transformation, data warehousing concepts, ETL processes, B. Tech / M. Tech / MCA/MBA
Nice to Have
Databricks Advanced/Professional Architect, 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.
and maintain scalable data pipelines and architectures using Spark
Lead and manage a team of data engineers
providing technical guidance
and performance management.
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.
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 management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage. _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 wil
Applying for this Senior Associate_ Data Engineering__ Data & Analytics _ Advisory role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Pwc?
Real rants from real employees. Read before you apply.