Pwc
Advisory
SeniorAssociate,DataEngineer,DataandAnalytics,Advisory
Neural analysis suggests this role is
optimal for Senior Associate candidates.
“Senior Associate, Data Engineer, Data and Analytics, Advisory at Pwc. Skills: Azure Cloud Data Engineer, Databricks, Advanced SQL, Pyspark, Python, Azure Databricks, Azure Blob Storage, Azure Data Lake Storage, Apache Spark, Data modeling, Data warehousing, ETL pipelines. Designing, developing, and optimizing scalable data solutions on the Azure cloud platform. Building data pipelines”
What You'll Achieve.
Drive insights; Make informed business decisions; Optimise operations; Achieve strategic goals; Solve complex business problems; Drive data-driven decision-making; Support clients in solving complex business problems; Make a tangible impact in the real world
Industry & Context.
Analytical Thinking; Analytic Research; Conducting Research; Complex Data Analysis; Problem-solving
No Work Visa Sponsorship, No Government Clearance Required
What They're Looking For.
Must Have
Azure Cloud Data Engineer, Databricks, Advanced SQL, Pyspark programming, Azure Databricks, 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, SQL skills, B. Tech/M. Tech/MCA
Nice to Have
Understanding of OLTP and OLAP environments, Kafka, Hadoop, Azure Synapse Analytics, Azure DevOps for CI/CD integration, Agile delivery methodologies, Master of Engineering
What You'll Do.
and optimizing scalable data solutions on the Azure cloud platform
Building data pipelines
Transforming complex data into actionable insights
and managing scalable and secure data pipelines using Azure Databricks
Architecting and implementing cloud-based data solutions
integrating structured and unstructured data sources
and reusable code primarily in Python for cloud automation
Building and optimizing ETL workflows and ensuring seamless data integration across platforms
Developing data models using normalization and denormalization techniques to support OLTP and OLAP systems
Managing Azure-based storage solutions including Azure Data Lake and Blob Storage
Troubleshooting performance bottlenecks in data flows and ETL processes
Integrating advanced analytics and supporting BI use cases within the Azure ecosystem
Leading code reviews and ensuring adherence to version control practices (e.g.
Contributing to the design and deployment of enterprise-level data warehousing solutions
Staying current with Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools
How You'll Work.
Team & Collaboration
Lead code reviews; Collaborate
Communication Scope
Communication
Process & Methodology
Agile delivery methodologies
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 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 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: · We are looking for
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