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.

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. "

Responsibilities: 

  

Requirment gathering and analysis. 

PAN India 

10 

Senior Associate 

3-7 

Experience with different databases like Synapse, SQL DB, Snowflake etc. 

Design and implement data pipelines using Azure Data Factory, Databricks, Synapse 

Create and manage Azure SQL Data Warehouses and Azure Cosmos DB databases 

Extract, transform, and load (ETL) data from various sources into Azure Data Lake Storage 

Implement data security and governance measures 

Monitor and optimize data pipelines for performance and efficiency 

Troubleshoot and resolve data engineering issues 

Provide optimized solution for any problem related to data engineering 

Ability to work with verity of sources like Relational DB, API, File System, Realtime streams, CDC etc. 

Strong knowledge on Databricks, Delta tables 

  

Technology: SQL, ADF, ADLS, Synapse, Pyspark, Databricks 

 

Mandatory skill sets: 

  

Azure DE 

Preferred skill sets: 

  

Azure DE 

Years of experience required: 

  

4-8 

Education qualification: 

  

Btech/MBA/MCA 

 

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure

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

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date