Industry/Sector

Specialism

Management Level

Job Description & Summary

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.

At PwC - AC, as an Azure Senior Developer, the candidate is responsible for end-to-end implementation of Cloud data engineering solutions. The candidate should have strong experience in Azure cloud using Storage services (Blob, ADLS, PaaS SQL), Azure Data factory and Azure Databricks, Snowflake and SQL . Strong in planning and organization skills. Ability to work as cloud developer/lead on an agile team and provide automated cloud solutions.

Years of Experience

Candidates with 4-8 years of hands on experience

Position Requirements:

Must Have:

• 4+ years of experience working in Azure ADLS, Databricks, Azure Data factory, SQL, Data Flows, Snowflake
• Should be aware of Data Management concepts and Data Modelling
• Good knowledge of Big Data frameworks and related technologies
• Experience in Spark is mandatory
• Should have expertise in extracting data from different source systems like flat files, XML sources, JSON, Parquet files, Big data appliances, RDBMS, etc.
• Good knowledge of Big Data frameworks and related technologies
• Experience in Spark is mandatory
• Should have clear understanding of DW lifecycle and contributed in preparing
• Detail Level Design document
• Unit Test plans
• Code review reports
• Must have strong sql, understand joins, groups, functions & Stored procedures
• Must have experience in Unit and Integration Test creation and verification
• Proficient in creating documentation related to Project Architecture, Project end User Manual and Operations Hand off guide
• Should have good understanding of Data Migration and integration processes, methods and project lifecycle
• Strong analytical skills and troubleshooting skills
• Should be well versed with quality processes and implementation
• Excellent communication skills
• Strong understanding of Cloud data migration processes, methods and project lifecycle
• Good knowledge of Application DevOps tools (Git, CI/CD Frameworks)
• Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit

Desired Knowledge / Skills:

• Certifications in Azure / Databricks
• Experience in building stream-processing systems, using solutions such as Storm or Spark
• Streaming
• Experience in Azure functions, Logi Apps, Microsoft Purview, Cosmos DB
• Knowledge in Python

Professional and Educational Background:

BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

Additional Information:

Travel Requirements:

Travel to client locations may be required as per project requirements.

Line of Service:

Advisory

Horizontal:

Technology Consulting

Designation:

Senior Associate

Location:

Bangalore, India

The Opportunity

• When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
• As part of the Data Engineering team you will design, build, and maintain productive data pipelines using PySpark and SQL. As a Senior Associate you will leverage your technical strengths to analyze complex concepts, guide and mentor others, and maintain professional standards while delivering top-quality data solutions. This position provides an exciting opportunity to work in Microsoft Azure environments and collaborate with stakeholders to support business intelligence and advanced analytics initiatives.

Responsibilities

• Design, build, and maintain streamlined data pipelines using PySpark and SQL
• Analyze complex concepts and deliver rigorous data solutions
• Guide and mentor team members in technical skills
• Collaborate with stakeholders to support business intelligence initiatives
• Uphold professional standards in engineering practices
• Leverage Microsoft Azure environments for data processing
• Identify opportunities for process improvements in data workflows
• Secure communication across cross-functional teams

What You Must Have

• Bachelor's Degree
• 4 years of experience in data engineering
• Oral and written proficiency in English required

What Sets You Apart

• Bachelor's or Master's Degree in Computer Science, Engineering, Information Systems, or related field
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Power BI Data Analyst Associate
• Developing reports and dashboards using Power BI
• Understanding DevOps practices in data projects
• Familiarity with Delta Lake or Lakehouse architecture
• Experience with Data Modeling and ETL orchestration
• Excelling in problem-solving and teamwork

Travel Requirements

Job Posting End Date