Pwc
Not Applicable
IN_SeniorAssociate__AzureDataEngineer_Data&Analytics_Advisory_Noida
Neural analysis suggests this role is
optimal for Senior Associate candidates.
“IN_Senior Associate__Azure Data Engineer_Data&Analytics _Advisory _Noida at Pwc. Skills: Azure Data Engineer, Databricks, Spark/PySpark, SQL, Python, Data Pipelines, Lakehouse. Design, build, and support batch and near real-time data pipelines on Azure using standard engineering practices. Develop and optimize Databricks notebooks/jobs using PySpark/Spark, SQL, and follow code review, testing, and documentation standards”
What You'll Achieve.
Deliver trusted, analytics-ready datasets for insurance use cases; Ensure reliable pipelines in production; Meet performance targets
Industry & Context.
Analytical Thinking
Available for Work Visa Sponsorship? No, Government Clearance Required? No
What They're Looking For.
Must Have
Bachelor’s/master’s degree in computer science, Engineering, or related, 3–6 years of data engineering experience delivering production pipelines on Azure, Databricks expertise (Spark/PySpark), SQL, and Python, Hands-on with Azure data services (ADLS Gen2, ADF), CI/CD using Git-based familiarity with DevOps practices, Good understanding of data modeling and lakehouse patterns (Delta), communication and stakeholder ability to translate requirements into scalable data solutions
Nice to Have
Azure Data Engineer Associate and/or Databricks certifications, Exposure to Databricks Unity Catalog/Delta Live Tables, Insurance data domains (policy, claims, billing), Experience with performance/cost optimization
What You'll Do.
and support batch and near real-time data pipelines on Azure using standard engineering practices
Develop and optimize Databricks notebooks/jobs using PySpark/Spark
and follow code review
and documentation standards
Implement and maintain lakehouse tables (Delta) and curated apply partitioning and file-layout best practices for performance
Create orchestration and scheduling using Azure Data Factory and/or Databricks manage dependencies
Implement data quality checks
observability (logging/metrics/alerts)
and incident triage to ensure reliable pipelines in production
Apply security and governance controls for regulated/PII data (RBAC
secrets management) and support audits as needed
Tune Spark workloads and manage Azure/Databricks costs (cluster policies
indexing/z-order) to meet performance targets
How You'll Work.
Team & Collaboration
Partner with architects, analysts, and business stakeholders to deliver trusted, analytics-ready datasets
Communication Scope
Communication; Stakeholder ability to translate requirements into scalable data solutions
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 with in................ **Responsibili
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