Azure + Databricks- Senior Manager
Azure + Databricks- Senior Manager
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Job Description
Industry/Sector
Not ApplicableSpecialism
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.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 data architecture and data modeling
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
Engage with business stakeholders to understand client requirements and build technical solutions and delivery plans
Demonstrable technical knowledge in skills and streams mentioned in the Technical Skills section
Lead the end-to-end design and architectural strategy for Banking & Financial Services / TMT/ Healthcare services solutions leveraging Azure and Databricks
Demonstrate strong business acumen with a proven ability to understand market dynamics financial implications of operational choices and deliver long-term strategic value
Drive the design development and deployment of data pipelines and analytics platforms using Azure Data Services and Microsoft Fabric
In-depth understanding of core banking systems risk management regulatory frameworks and digital transformation in financial services
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: 12 - 16 Years
Position Requirements:
Must Have Skills:
Proficient with Azure Data Services Databricks and Fabric.
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/Data Mesh/Kappa design patterns
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
Drive adoption and rollout of Power BI dashboards standardizing reporting and enabling self-service BI capabilities for finance stakeholders.
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 Financial Services/Healthcare/TMT Domain with familiarity with data compliance standards (PCI DSS GDPR etc.)
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
Certification:
Data Engineering on Microsoft Azure (DP 200/201/203)
Azure Solutions Architect Expert (AZ 303/304)
Azure Fabric
Good to have skills:
Experience in pre-sales engagements and proposal development.
Data Modeling and Data Architecture
Cloud - AWS GCP Informatica-Cloud Oracle-Cloud
Cloud DW Databricks Snowflake
Data Engineering - Java Python Pyspark R-Programming
Data Integration - Informatica DataStage AbInitio
Business Intelligence - MicroStrategy Business Objects Cognos
Microsoft Azure and Fabric certifications
Data Visualization Tableau Qlik
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
Experience in Pre-Sales and proposal response
Education
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
Employment Type
Full-Time
