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AnalyticsManagement Level
Senior ManagerJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.At PwC - AC we are looking for an Azure Senior Manager- Data & AI who will have:
Passion for technology in the space of Analytics
Hands-on experience in Cloud Analytics Data Engineering
Hands on experience in building large data repositories in Cloud
Hands on experience in designing and implementing large scale transformation programs in Cloud Enterprise Data Management
Drive the design development and deployment of data pipelines and analytics platforms using Azure Data Services and Microsoft Fabric
Architect and oversee PySpark Notebooks and SparkSQL jobs to process large-scale datasets efficiently
Develop and optimize SQL database solutions to support analytics reporting and data integration needs
Engage with business stakeholders to understand client requirements and build technical solutions and delivery plans
Business / domain knowledge along with technical expertise
Experience in working with cross functional and geographically separated teams
Experience in technical scoping of projects drawing delivery plans
Experience in leading technical teams guiding and mentoring team members
Experience in presenting technical and business executive presentations to leadership
Responsible for the design and execution of abstractions and integration patterns (APIs) to solve complex distributed computing problems
Years of Experience: Candidates with 12-16 years of hands on experience
Position Requirements:
Must Have:
Proficient with Azure cloud computing including big data technologies.
Experience with deep understanding in both traditional and modern data architecture and processing concepts including relational databases (e.g. SQL Server MySQL PostgreSQL) Data warehousing big data NoSQL and business analytics
Rich experience working in Azure ADLS Data Bricks Data Flows HDInsight Azure Analysis services
Experience in building stream-processing systems using solutions such as Storm or Spark-Streaming
Understanding of big data use-cases and Lambda/Kappa design patterns
Hands-on experience with Microsoft Fabric and its components
Proficient in PySpark Notebooks for building scalable data processing pipelines
Strong command over SQL databases and performance tuning for analytical workloads
Solid experience with SparkSQL for complex data transformations and querying
Knowledge of real time/stream analytics trends.
Architecture design implementation and/or support of complex application architectures (i.e. having an architectural sense for connecting data sources data visualization structured and unstructured data etc.)
Demonstrable hands on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services
Azure SQL DB Azure Synapse Analytics Azure HD Insight Azure Data Lake Storage Azure Data Lake Analytics Azure Machine Learning Stream Analytics Azure Data Factory Azure CosmosDB and Power BI
Exposure to Open Source technologies such as Apache Spark Hadoop NoSQL Kafka Solr/Elastic Search
Should be well versed with quality processes and implementation
Excellent communication skills
Business / domain knowledge in one of the domains -Financial Services/ Healthcare/ Consumer Market/Industrial Products/ TelecommunicationMedia and Technology /Deal advisory along with technical expertise
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
Good understanding of Data Modeling and Data Architecture
Good to have skills:
Knowledge of Snowflake Cortex Snowflake AI features and Sigma.
Knowledge of data integration tools like Informatica DataStage or Ab Initio.
Familiarity with data visualization tools such as Tableau or Qlik.
Experience with programming languages such as Python Java or PySpark.
Certifications related to cloud data warehousing or Snowflake.
Experience in pre-sales engagements and proposal development.
Data Modeling and Data Architecture
Cloud - AWS GCP Oracle-Cloud
Business Intelligence - MicroStrategy Business Objects Cognos
Data Appliance - Teradata Netezza
Additional Skills
Excellent communication skills client presence presentation skills
People skills Leadership skills
Engage with business and technical teams to drive consensus
Professional and Educational Background:
BE / / MCA / / M.E / / MBA
Additional Information:
Travel Requirements: Travel to client locations may be as per project requirements.
Line of Service: Advisory
Horizontal: Technology Consulting
Designation: Senior Manager
Location: Bangalore India
Travel Requirements
Not SpecifiedJob Posting End Date
Required Experience:
Senior Manager
Full-Time