Managed Windows Servers (Wintel) in AWS, overseeing the deployment, configuration, and ongoing management of cloud-based virtual machines (VMs) and instances.
Design, develop, and maintain SQL queries, stored procedures, functions, and triggers.
Optimize database performance through indexing, query tuning, and schema design.
Collaborate with data analysts, software developers, and business stakeholders to understand data requirements.
Develop ETL processes to extract, transform, and load data from various sources.
Ensure data accuracy, consistency, and security across all database systems.
Create and maintain documentation related to database structures, processes, and standards.
Troubleshoot and resolve database-related issues and provide ongoing support.
Designed large scale cloud migration on data warehousing and data lake house projects
Developing and debugging cloud-based data assets. Creating ETL jobs.
Drive analytics team to identify various opportunities to automate reporting and providing meaningful Data
Implemented and Design & Build Data Pipelines: Develop and optimize ETL/ELT workflows to ingest, process, and transform large datasets.
Data Warehousing & Modeling: Design and maintain data warehouses and implement efficient data models.
Cloud & Infrastructure: Deploy and manage data solutions on cloud platforms (AWS, Azure) using services like S3, Databricks etc.
Data Quality & Governance: Ensure data accuracy, consistency, and security through monitoring, validation, and governance practices.
Collaboration: Work closely with data scientists, analysts, and business teams to understand data requirements and deliver scalable solutions.
Performance Optimization: Improve query performance, reduce latency, and enhance system reliability.
Automation & CI/CD: Implement automation for data workflows and integrate with DevOps
You Bring:
Bachelors degree in Computer Science, Information Technology, or a related field.
Minimum of 5 years experience as a SQL Server Database Administrator.
Professional experience with Microsoft SQL Server 2016, 2017, 2019, or newer.
Strong knowledge of SQL Server high availability and disaster recovery technologies.
Solid understanding of performance tuning, query optimization, and index strategies.
Hands-on experience with Azure SQL databases and patch/update procedures.
Familiarity with other database platforms such as MySQL, Oracle, PostgreSQL, and MongoDB is a plus.
Proficiency in scripting (e.g., T-SQL, PowerShell) for maintenance and automation.
Strong troubleshooting and analytical skills across infrastructure layers.
Excellent documentation and communication abilities.
Microsoft SQL Server Certification (e.g., Microsoft Certified: Azure Database Administrator Associate) is required.