Number of Applicants
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Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
Years of Experience: Candidates with 9-14 years of hands on experience
Position Requirements:
Must Have:
5+ 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: Manager
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 and Analytics Engineering team you shall drive the design, development, and deployment of innovative data solutions. As a Manager, you shall lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while inspiring your team to deliver exceptional results. This role offers the chance to engage with cutting-edge technology and collaborate with cross-functional teams to solve intricate challenges in the cloud analytics space.
Responsibilities
- Lead projects utilizing Microsoft Fabric for data solutions
- Collaborate with clients to define project scope and objectives
- Mentor team members in technical and analytical skills
- Analyze data integration processes for efficiency improvements
- Maintain compliance with data governance and security standards
- Drive innovation through the application of new technologies
- Manage project timelines and deliverables effectively
- Foster a culture of collaboration and continuous learning
What You Must Have
- Bachelor's Degree in Engineering, Technology, or related field preferred
- 8 years of experience
- Oral and written proficiency in English required
- BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
What Sets You Apart
- Demonstrating hands-on experience in Cloud Analytics and Data Engineering
- Excelling in designing and implementing large-scale transformation programs
- Leading technical teams and mentoring team members
- Engaging with business stakeholders to build technical solutions
- Skilled in Azure cloud computing and big data technologies
- Knowledge of data integration tools and data visualization tools
- Understanding of Data Modeling and Data Architecture
Travel Requirements
Not SpecifiedJob Posting End Date
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