IN-Associate_Azure Data Engineer-- Data and Analytics_Advisory_Gurugram

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

• 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

• Develop and implement data pipelines using Azure Data Factory and Databricks.
• Work with stakeholders to gather requirements and translate them into technical solutions.
• Migrate data from various data sources to Azure Data Lake.
• Optimize data processing workflows for performance and scalability.
• Ensure data quality and integrity throughout the data lifecycle.
• Collaborate with data architects and other team members to design and implement data solutions.
  
  
  

Mandatory Skill Sets

• Strong experience with Azure Data Services, including Azure Data Factory (ADF), Synapse Analytics, and Databricks.
• Proficiency in SQL, data transformation and ETL processes.
• Hands-on experience with Azure Data Lake migrations and Python/Pyspark
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork skills.
  
  
  

Preferred Skill Sets

• Azure Data Engineer Associate certification.
• Databricks Certification.
  
  
  

Years Of Experience Required

4 – 7 yrs

Education Qualification

BTech/MBA/MCA

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

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

Degrees/Field Of Study Preferred

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure, Structured Query Language (SQL)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning {+ 12 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