Minimum of 12 to 15 years of Data Engineering, Data Warehouse/ Business intelligence with hands-on experience leading and delivering multiple full life cycle implementations.

Comprehensive data warehouse analysis and design experience, with full knowledge of data warehouse methodologies and data modeling.

Hands-on experience & deep understanding in designing, development and implementation of Azure Data & Analytics architecture, data modeling, transformations, and development.

In-depth knowledge and minimum 5 to 7 years' experience developing & implementing data engineering solutions using Azure services for Data Warehouse, Data Lakehouse, & Advance analytics- Primarily- Azure Data Factory, ADLS, Azure Databricks, Azure Functions, Logic Apps, IoT Hub, Event Hub & Azure SQL

Experience with Data pipeline and workflow management tools & Azure DevOps processes.

Strong proficiency in programming languages such as Python, PySpark, or Scala

End to End Implementations expertise in Azure Data Warehouse & Data Lakehouse

Solid understanding of database structure principles, Master and Reference Data management

Experience & expertise in optimizing the ETL/ELT data pipeline technology options to minimize the on-going operational cost of Azure data engineering & storage solutions.

8+ years experience in agile Data warehouse development methodology.

8+ years' experience designing and developing dimensional models for data warehousing

3+ years' experience in MSBI suite primarily SSIS

3+ years of implementing operational data model is plus not essential

3+ years of experience with big data batch/streaming processing.

5+ years' experience using Pyspark, Python or Scala

Experience delivering reporting solution using visualization tools like PowerBI

Experience in implementing SAP data analytics solution in Azure is plus not essential

Experience using data modeling tool like ERWin

Ability to lead and work with remote & offshore teams.

Experience integrating & analyzing data from time-series databases, SCADA data, IOT, voice to text, images & videos for creating Industrial Intelligence solution.

Knowledge/expertise on Azure Client/AI predictive modeling capabilities is a plus

Experience using proven methods to solve business problems using Azure Data and Analytics services in combination with building data pipelines, data streams and system integration

Hands-on experience with analytics and big data technologies within Microsoft Azure Cloud platform in tools such as Azure Machine Learning & Azure Cognitive Services is plus not essential

Experience with data profiling, cataloguing, and data mapping for technical design using a use case-based approach that drives the construction of technical data flows

Experience with Azure Administration & Security (Connection setup, User setup, Object security) is plus

Understanding of statistical and machine learning modeling with experience applying these modeling techniques to business problems is a plus not essential.

Ability to set up data and experimental platforms using Azure cloud service