Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& Summary
.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Responsibilities
Design and implement endtoend data solutions on Microsoft Azure, including data lakes, data warehouses, and ETL/ELT processes. Develop scalable and efficient data architectures that support largescale data processing and analytics workloads. Ensure high performance, security, and compliance within Azure data solutions. Know various techniques (lakehouse, warehouse) and have experience implementing them. Evaluate and choose appropriate Azure services such as Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks (configuring, costing, etc), Unity Catalog, and Azure Data Factory. Should have deep knowledge and handson experience with these Azure Data Services. Ideally, knowledgeable and experienced with Microsoft Fabric. Work closely with business and technical teams to understand and translate data needs into robust, scalable data architecture solutions. Experience with data governance, data privacy, and compliance requirements. Excellent communication and interpersonal skills, with the ability to collaborate effectively with crossfunctional teams. Provide expertise and leadership to the development team implementing data engineering solutions. Collaborate with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements. Optimize cloudbased data infrastructure for performance, costeffectiveness, and scalability. Analyze data workloads and recommend optimizations for performance tuning, cost management, and reducing complexity. Monitor and address any issues related to performance and availability in cloudbased data solutions. Experience in programming languages (e.g., SQL, Python, Scala). Handson experience using MS SQL Server, Oracle, or similar RDBMS platform. Experience in Azure DevOps, CI/CD pipeline development Handson experience working at a high level in architecture, data science, or combination. Indepth understanding of database structure principles Distributed Data Processing of big data batch or streaming pipelines. Familiarity with data visualization tools (e.g., Power BI, Tableau, etc.) Data Modeling and strong analytics skills. The candidate must be able to take OLTP data structures and convert them into Star Schema. Ideally, the candidate should have DBT experience along with data modeling experience. Problemsolving attitude, Highly selfmotivated, selfdirected, and attentive to detail, Ability to prioritize and execute tasks effectively. Attitude and aptitude are highly important at Hitachi; we are a very collaborative group
Mandatory skill
sets
Azure DE/Architect
Preferred skill
sets
Azure DE/Architect
Years of
experience
required
413 Years
Education
qualification
Btech/MBA/MCA
Education
Degrees/Field of Study required Bachelor of Technology, Master of Business Administration, Master Degree Computer Applications
Degrees/Field of Study preferred
Required Skills
Microsoft Azure
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}
No
