Senior Associate, Data Engineer (Databricks/Pyspark)- Data and Analytics_Advisory_Pan India

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.

Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

• Design and develop data pipelines using Databricks and PySpark to ingest, process, and transform large volumes of data.
• Implement ETL/ELT workflows to move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using cloud-native tools.
• Work with structured and unstructured data stored in AWS or Azure Data Lakes.
• Apply strong SQL and Python skills to manipulate and analyze data efficiently.
• Collaborate with cross-functional teams to deliver cloud-based serverless data solutions.
• Design innovative data solutions that address complex business requirements and support data-driven decision-making.
• Maintain documentation and enforce best practices for data architecture, governance, and performance optimization.

Mandatory skill sets:

• Databricks, PySpark, and SQL on any cloud platform (AWS or Azure).

Preferred skill sets:

ETL,Pyspark

Years of experience required: 4 to 10 Years

Education qualification:

Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus.

Education

Degrees/Field of Study required: Bachelor Degree, Master Degree

Degrees/Field of Study preferred:

Certifications

Required Skills

PySpark

Optional 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 {+ 27 more}

Desired Languages

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date