In_senior Associate_cloud Data Engineering_data& Analytics_advisory_bangalore

Cloud Data Engineer

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems.

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. You will play a critical role in building data pipelines and transforming complex data into actionable insights by leveraging cloud-native tools and technologies.

Responsibilities:

• 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 (Good to Have):

• 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:

• 7+ years of overall experience in cloud engineering or data engineering roles, with at least 2-3 years of hands-on experience with cloud services.
• Proven track record of strong Python development with at least 2-3 years of hands-on experience.

Education qualification:

BE/B.Tech/MBA/MCA

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills: Cloud Engineering

Optional Skills: Accepting Feedback, Active Listening, Algorithm Development, 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: Not Specified

Available for Work Visa Sponsorship? No

Government Clearance Required? No

Job Posting End Date