01 Sep
|
HOS Global Foods
|
Mumbai
01 Sep
HOS Global Foods
Mumbai
JOB DESCRIPTION
Summary/Objective:
House of Spices (India) is seeking a Data Engineer to design, build, maintain, and optimize data solutions that support reporting, analytics, and data-driven decision-making across the organization. The ideal candidate will have hands-on experience in T-SQL, Azure Data Services, data warehousing, data modeling, and ETL/ELT development. This role will work closely with BI developers, IT teams, and business stakeholders to develop reliable, scalable, and well-documented data pipelines and data models. The Data Engineer will help improve data quality, performance, and availability while supporting enterprise reporting needs, including data from Microsoft Dynamics NAV / Business Central and other business systems.
Essential Functions
Data Solution Development:
Build, enhance, and support reliable data solutions for reporting, analytics, and system integration needs.
Create, update, and optimize logical and physical data models to improve data accuracy, scalability, and query performance.
ETL/ELT Development:
Build, maintain,
and troubleshoot ETL/ELT processes using T-SQL, Azure Data Factory, and other Azure data services.
Monitor, tune, and resolve issues in data pipelines to support reliable processing, timely data availability, and production stability.
Azure Data Engineering:
Develop and support data pipelines using Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics.
Desirable: Support data orchestration and workflow automation using Azure Logic Apps and related Azure services.
Data Warehousing:
Build and maintain data warehouse tables, views, stored procedures, and related objects that support BI and reporting needs.
Tune data warehouse queries and objects to improve report performance, data retrieval, and processing efficiency.
Advanced Data Processing:
Use Azure Databricks to process, transform, and prepare large data sets for reporting, analytics, and downstream consumption.
Maintain data lake
📌 Data engineer (Mumbai)
🏢 HOS Global Foods
📍 Mumbai