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. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
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/ Telecommunication,Media 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 / 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 Manager
- Location: Bangalore, India
