PwC
MS Fabric & PBI - Senior Associate
Skills
Job description
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
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
Not Specified
Job Posting End Date