IN-Senior Associate Azure Data Engineer-- Data and Analytics Advisory Gurugram

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 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:

Job Description: Azure Data Engineer (4-7 Years Experience)

Position: Azure Data Engineer
Experience: 4-7 Years
Location: Gurugram
Type: Full Time
Preferred Certifications: Azure Data Engineer Associate, Databricks (Not Mandatory)

About the Role:
We are looking for a skilled Azure Data Engineer with 4-7 years of experience in Azure Data Services, including Azure Data Factory (ADF), Synapse Analytics, and Databricks. The candidate will play a key role in developing and maintaining data solutions on Azure.

Key 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.

Required Skills:

• 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 Qualifications:

• Azure Data Engineer Associate certification.
• Databricks Certification.

Mandatory skill sets:

Azure, ADF, SQL

Preferred skill sets:

Azure, ADF, SQL

Years of experience required:

4-7 years

Education qualification:

BE/BTECH, ME/MTECH, MBA, MCA

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

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

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, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 19 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date