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 Architectures, Cloud Data Engineering. Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.. Ensure data quality, integrity, and security across all data engineering projects.”
Industry & Context.
Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
Available for Work Visa Sponsorship? No, Government Clearance Required? No
What They're Looking For.
Must Have
Spark 3.0, Spark, PySpark, and Python, data engineering technologies, data processing and transformation, data warehousing concepts, ETL processes, B. Tech / M. Tech / MCA/MBA
Nice to Have
Databricks Advanced/Professional Architect, Databricks, Azure Data Engineering, Amazon Web Services (AWS), BigQuery, Redshift, S3, EMR, 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
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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