Data Engineer-Husky (Guindy,Chennai)

Own and ensure reliability, performance, and scalability of the Enterprise Data Warehouse and data pipelines in both on-premises and Azure cloud environments.

Lead design, development, deployment, and operational support of complex data integration and transformation solutions with adherence to data governance.

Perform infrastructure capacity assessments, performance tuning, root cause analysis, and recommend architectural improvements for the data platform.

5–10 years of experience in data engineering, business intelligence, or analytics within complex enterprise environments.

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related technical discipline.

Hands-on expertise with Microsoft data technologies including SQL Server (2019/2022), SSIS, Azure Data Factory, SSAS, Power BI, Azure Synapse, Azure Data Lake, and associated scripting languages (T-SQL, PowerShell, VBA, VBScript).

Experience implementing DevOps practices like CI/CD pipelines and automated deployments.

Experienced in delivering end-to-end Enterprise Business Intelligence solutions and operating in global or multinational organizations.

Proficient in managing high-availability ETL/ELT pipelines with strong analytical and problem-solving skills for performance and data quality issues.

Able to effectively facilitate cross-functional collaboration and translate technical requirements between business and technical teams.