IN_Senior Associate_Azure Data Engineer_OC D&A_Advisory_Bhubaneswar
PricewaterhouseCoopersLine of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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, 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….
Responsibilities:
- Hands on Experience in Azure Data Components like ADF / Databricks / Azure SQL
- Good Programming Logic Sense in SQL
- Good PySpark knowledge for Azure Data Bricks
- Data Lake and Data Warehouse Concept Understanding
- Unit and Integration testing understanding
- Good communication skill to express thoghts and interact with business users
- Understanding of Data Security and Data Compliance
- Agile Model Understanding
- Project Documentation Understanding
- Certification (Good to have)
- Domain Knowledge
Mandatory skill sets:
Databricks/Pyspark, azure data factory azure datalake, ADS
Preferred skill sets:
Databricks/Pyspark, azure data factory azure datalake, ADS
Years of experience :
2 to 10 years
Education qualification:
Graduate Engineer or Management Graduate
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
Data EngineeringOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
April 1, 2026