Senior DBA, Data Engineer

Cin7

full-time

Posted on: 9/18/2025

Origin: • 🇮🇳 India

✨ AI Apply

Senior

AzureCloudETLMS SQL ServerNoSQLPostgresPythonRDBMSSQLTerraform

About the role

Design, deploy, and maintain secure and scalable database environments, primarily in Microsoft SQL Server and Azure SQL.
Monitor and optimize database performance, query efficiency, and storage management.
Manage backup, restore, high availability (HA), and disaster recovery (DR) strategies.
Design and build scalable ETL/ELT pipelines using tools such as Azure Data Factory, Microsoft Fabric Dataflows, or Databricks.
Work with stakeholders to understand data needs and deliver robust data integration solutions.
Manage Azure data solutions including Azure SQL, Synapse Analytics, Cosmos DB, Microsoft Fabric, and Blob Storage.
Develop infrastructure-as-code (IaaC) scripts using Terraform to provision and manage data services.
Implement automation for monitoring, patching, and deployment of data infrastructure across cloud environments.
Enforce data security, encryption, and access control policies across all data layers.
Mentor junior DBAs and data engineers, sharing knowledge and driving best practices in data architecture and engineering.

Experience: 6+ years in a DBA or data engineering role with enterprise-scale systems.
Database Expertise: Advanced knowledge of Microsoft SQL Server and Azure SQL. Familiarity with PostgreSQL or other relational databases is a plus. Moreover, hands-on experience with Cosmos DB for globally distributed NoSQL scenarios would be an advantage.
Data Integration: Strong experience in ETL/ELT design, implementation, and optimization across both batch and streaming data.
Cloud & IaC: Hands-on experience with Azure data services including Azure SQL, Cosmos DB, Azure Synapse Analytics, and Microsoft Fabric. Proficiency in infrastructure-as-code using Terraform.
Performance Tuning: Deep understanding of query optimization, indexing strategies, execution plans, and performance tuning in both traditional RDBMS and distributed databases like Cosmos DB.
Scripting & Automation: Proficiency in T-SQL, PowerShell, and Python for automating database operations, data pipelines, and monitoring solutions.
Collaboration: Excellent communication and interpersonal skills, with the ability to convey complex data concepts to both technical and non-technical stakeholders.
Certifications: Relevant certifications are highly desirable.