1. Competetive Salary
2. PF and Gratuity
About Our Client
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
Job Description
Qualifications & Required Skills: Full-Time
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
The Successful Applicant
Qualifications & Required Skills: Full-Time
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