Data Engineer-Husky (Guindy,Chennai)

Role Overview

The Data Engineer within the Husky DST Data Team will play a key role in supporting and advancing Husky’s enterprise-wide Business Intelligence and Data Management ecosystem.

What You Will Do

Execute end-to-end Enterprise Business Intelligence and Data Engineering initiatives, including requirement analysis, BI specification development, data modeling, solution design, deployment, and post-production support.

Why It Might Be a Fit

The position requires a strong understanding of data analysis, data profiling, and root-cause investigation across complex datasets and pipelines, as well as excellent written and verbal communication and presentation skills.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related technical discipline.
• 5–10 years of experience working in data engineering, business intelligence, or analytics-focused roles within complex enterprise environments.
• Strong hands-on experience with ETL/ELT development involving medium to high complexity integration pipelines, ensuring high availability, data quality, and reliability in production environments.
• Proficient with a broad range of Microsoft data and analytics technologies, including Databases & Platforms: SQL Server 2019/2022, Data Integration: SSIS, Azure Data Factory (ADF), Analytics & Modeling: SSAS, Power BI, Cloud: Azure Synapse, Azure Data Lake, and related Azure data engineering services, Programming & Scripting: T‐SQL, PowerShell, VBA, VBScript, Familiarity with Data Warehouse Automation tools such as dbt (Data Build Tool) is a strong advantage, Familiarity with Data Replication tools such as FiveTran is an advantage, Strong understanding of server operational environments, particularly Windows Server 2019/2022, Experience implementing and supporting DevOps practices, including CI/CD pipelines, automated deployments, and version control.