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, Data Engineering, Data Pipelines, Data Architecture, Cloud Data Engineering. Organising and maintaining data to enable accuracy and accessibility for effective decision-making. Handling data governance, quality control, and data integration to support business operations”
What You'll Achieve.
Enable accuracy and accessibility for effective decision-making; Support business operations; Optimise the quality, integrity, and security of data; Mitigate risks associated with data usage; 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 Available for Work Visa Sponsorship, No Government Clearance Required
What They're Looking For.
Must Have
Spark 3.0 (Mandatory), Experience with data engineering technologies, particularly Spark, PySpark, and Python, Experience with data processing and transformation, Understanding of data warehousing concepts and ETL processes, B. Tech / M. Tech / MCA/MBA
Nice to Have
Databricks Advanced/Professional Architect, 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 are a plus
What You'll Do.
Organising and maintaining data to enable accuracy and accessibility for effective decision-making
Handling data governance
and data integration to support business operations
Establishing and maintaining policies and procedures to optimise the quality
Optimising data management processes and mitigate risks associated with data usage
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
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