Job Description
Our client is an international professional services brand of firms, operating as partnerships under the brand. It is the second-largest professional services network in the world
Qualifications & Required Skills
* bachelor's or master's degree in engineering/technology, computer science, information technology, or related fields.
* 10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage.
* 8+ years of experience in data engineering development and support.
* 3+ years of experience in leading technical team of data engineers and BI engineers.
* Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools.
* Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks.
* Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions.
* Strong communication, interpersonal, collaboration skills along with leadership capabilities.
* Ability to work effectively in a fast-paced, dynamic environment as cloud SME.
* Act as single point of contact for all kinds of data management related queries to make data decisions.
* Design and manage centralized, end-to-end data architecture solutions, such as- Data model designs, Database development standards, Implementation and management of data warehouses, Data analytics systems.
* Conduct continuous audits of data management system performance and refine where necessary.
* Identify bottlenecks, optimize queries, and implement caching mechanisms to enhance data processing speed.
* Work to integrate disparate data sources, including internal databases and external application programming interfaces (APIs), enabling organizations to derive insights from a holistic view of the data.
* Ensure data privacy measures comply with regulatory standards.
Preferred
* Azure Data Factory (ADF), Databricks certification is a plus.
* Data Architect or Azure cloud Solution Architect certification is a plus.
Technologies we use
* Azure Data Factory
* Databricks
* Azure Synapse
* Azure Tabular
* Azure Functions
* Logic Apps
* Key Vault
* DevOps
* Python
* PySpark
* Scripting (PowerShell, Bash)
* Git
* Terraform
* Power BI
* Snowflake
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