1. About 3 4 Years of industry experience with Data Management, Analytics & AI/ML

solutions using AWS, Microsoft Azure Cloud platforms.
1. Must have hands-on experience and successfully architected, designed, and delivered 4 or

5 end-to-end Modern Data Platform using Data Mesh, Data Fabric, Medallion Architecture principles for different consumption patterns along with comprehensive Data Governance functions and Data Modelling
1. Architect and build cost efficient scalable Modern Data Platform architecture (Data Lake,

DWH, AI/ML, Domain-driven Data Stores, Data Services etc.) in cloud using Azure services (or equivalent AWS services)
1. Architect and build data analytics layer for BI reporting & AI/ML layer for advanced

analytical insights.
1. Ability to assess the existing system architecture, validate use cases, data availability and

make recommendations for a best fit data platform using Azure (or AWS) Services.
1. Conduct data profiling activities, discover data quality challenges, document the impacts

to business and make recommendations for frameworks covering Data quality, Data

Protection and Data Governance

1. Design Data pipeline architecture for data ingestion (batch & real-time) and transformation

processes using AWS services like Lambda, Amazon Managed Kafka, Glue, etc. (or equivalent Azure services using ADF, MSIR, Power Automate etc)
1. Build and Design solution which are compliant to GDPR, Data Protection Act etc.
2. Design and optimize data governance framework including the management of data,





operating model, data policies and standards using Azure services (or equivalent AWS Datazone).
1. Design and implement Exploratory Data Analysis (EDA) and data preparation techniques

for AI/ML model generation.
1. Experience or Knowledgeable with implementation of ML models for advanced analytics

using Azure services (or equivalent AWS Sagemaker).
1. Experience with CI/CD deployment processes, DevOps, Orchestration, etc.
2. Should effectively communicate and collaborate with Leadership, Business, Technology

team members
1. Facilitate design and architecture workshops and drive outcomes.
2. Mentor Data engineers in coding best practices and problem solving.

Required technical & Professional expertise:
1. A Degree in Information Technology/Computer Science
2. A Master in Business Intelligence/ MBA / Master in Project Management
3. AWS (or Azure) Certification Solution Architect / Data Analytics
4. AWS (or Azure) Data and Analytics platform implementation experience
5. 8+ years developing BI Solutions/Architecture with Proficient with Python, TSQL, PLSQL, SQL Server and Oracle Databases, SSIS, SSAS, AS400 and

other Databases
1. Advanced SQL skills with Strong database-related development skills (complex SQL

queries, complex store procedures and user-defined functions in SQL Server)
1. Valuable knowledge of Google BigQuey, SharePoint, Business Objects, PowerBI,

PowerPivot, PowerView, Power Query, Tableau, QlikView, MDX and DA

📌 Business Intelligence Engineer (Mumbai)
🏢 Bolzano India
📍 Mumbai