IN_Senior Associate_Data Engineer and Pytho_Data and Analytics_Advisory_Bangalore

PwC South Africa; Bengaluru; On-site; Confidential; Full time

Job summary

PwC Noida is seeking a skilled Cloud Data Engineer to design, develop, and optimize scalable data solutions on Azure/AWS/GCP. You will implement data pipelines using Databricks, PySpark, and Python to support analytics and BI needs.

Responsibilities include building scalable ETL pipelines, data modeling for OLTP/OLAP, and collaborating with teams to deploy enterprise data warehousing solutions. Agile practices and Git governance are expected.

Qualifications

• Strong SQL, Databricks, Python, and Spark proficiency.
• Experience in designing scalable data pipelines on cloud platforms.
• Ability to model data for OLTP/OLAP and integrate BI tools.

Responsibilities

• Design, develop, and manage scalable data pipelines using Databricks and PySpark.
• Architect and implement cloud-based data solutions, integrating structured and unstructured data sources.
• Write clean, efficient Python code for cloud automation, data processing, and orchestration.
• Build and optimize ETL workflows and ensure seamless data integration across platforms.
• Develop data models supporting OLTP and OLAP systems.
• Troubleshoot performance bottlenecks in data flows and ETL processes.
• Integrate advanced analytics and support BI use cases within the Cloud ecosystem.
• Lead code reviews and ensure version control practices (e.g., Git).
• Contribute to enterprise-level data warehousing solutions and stay updated with cloud tech.

Skills

Strong SQL

Databricks

Python

Spark

Data modeling

Data warehousing

BI tools integration

Git

ETL pipelines

Education

BE/B.Tech/MBA

Tools

Azure DevOps

Azure Cloud

CI/CD

Kafka

Job description

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.

Job Description & Summary: We are looking for a skilled Cloud Data Engineer with strong expertise in Databricks, Advanced SQL and in Python programming, to join our team in Noida. The candidate will be responsible for designing, developing, and optimizing scalable data solutions on the Azure/AWS/GCP cloud platform.

• Design, develop, and manage scalable and secure data pipelines using Databricks and PySpark.
• Architect and implement cloud-based data solutions, integrating structured and unstructured data sources.
• Write clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration.
• Build and optimize ETL workflows and ensure seamless data integration across platforms.
• Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems.
• Troubleshoot performance bottlenecks in data flows and ETL processes.
• Integrate advanced analytics and support BI use cases within the Cloud ecosystem.
• Lead code reviews and ensure adherence to version control practices (e.g., Git).
• Contribute to the design and deployment of enterprise-level data warehousing solutions.
• Stay current with Cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.

Mandatory skill sets:

• Strong SQL skills (Must-Have)
• Databricks (Must-Have)
• Python programming (Must-Have)
• Spark (Must-Have)
• Data modeling (Normalization & Denormalization)
• Data warehousing and BI tools integration
• Git (Version Control)
• Building scalable ETL pipelines

Preferred skill sets:

• Understanding of OLTP and OLAP environments ,
• Experience with Kafka and Hadoop ,
• Azure Cloud knowledge ,
• Azure DevOps for CI/CD integration ,
• Agile delivery methodologies

Years of experience required: 8-12 years

Education qualification: BE/B.Tech/MBA/MC Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified)

Required Skills Data Engineering, Python (Programming Language) 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 Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date August 19, 2026