INSenior Associatedata & analyticsAzure Data EngineeringAdvisoryNoida

Noida - India

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

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 data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.

*Why PWC

At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn moreabout us.

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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities:

Design develop and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory. Write clean efficient and reusable code primarily in Python for cloud automation data processing and orchestration. Architect and implement cloud-based data solutions integrating structured and unstructured data sources. Build and optimize ETL workflows and ensure seamless data integration across platforms. Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems. Manage Azure-based storage solutions including Azure Data Lake and Blob Storage. Troubleshoot performance bottlenecks in data flows and ETL processes. Integrate advanced analytics and support BI use cases within the Azure ecosystem. Lead code reviews and ensure adherence to version control practices (e.g. Git). Contribute to the design and deployment of enterprise-level data warehousing solutions. Stay current with Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.

Mandatory skill sets:

Strong Python programming skills (Must-Have) advanced scripting automation and cloud SDK experience Strong SQL skills (Must-Have) Azure Databricks (Must-Have) Azure Data Factory Azure Blob Storage / Azure Data Lake Storage Apache Spark (hands-on experience) Data modeling (Normalization & Denormalization) Data warehousing and BI tools integration Git (Version Control) Building scalable ETL pipelines

Preferred skill sets (Good to

Have):

Understanding of OLTP and OLAP environments Experience with Kafka and Hadoop Azure Synapse Analytics Azure DevOps for CI/CD integration Agile delivery methodologies

Years of experience

required:

6 years of overall experience in cloud engineering or data engineering roles with at least 2-3 years of hands-on experience with Azure cloud services. Proven track record of strong Python development with at least 2-3 years of hands-on experience.

Education qualification:

BE/ (if blank degree and/or field of study not specified)

Degrees/Field of Study required: Master of Business Administration Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Python (Programming Language)

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Algorithm Development Alteryx (Automation Platform) Analytical Thinking Analytic Research Big Data Business Data Analytics Communication Complex Data Analysis Conducting Research Creativity Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection Data-Driven Insights Data Integration Data Integrity Data Mining Data Modeling Data Pipeline 38 more

Desired Languages (If blank desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date

Required Experience:

Senior IC

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelSenior AssociateJob Description & SummaryAt PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics technique...