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DBA Lead Engineer
DBA Lead EngineerConfidential • Bengaluru / Bangalore, India
DBA Lead Engineer

DBA Lead Engineer

Confidential • Bengaluru / Bangalore, India
25 days ago
Job description

Job Requirements

We are seeking a highly skilled MS SQL Database Developer and Administrator to design, implement, and manage our enterprise-grade database systems for a new data modernization project.

The ideal candidate will have end-to-end expertise in Microsoft SQL Server (on-prem and Azure) , data warehouse design , data lake integration , and NoSQL databases such as Cosmos DB and MongoDB .

This role demands strong database development, optimization, and administration capabilities, as well as hands-on experience with Azure cloud data services .

Key Responsibilities

Database Design & Development

  • Design and implement MS SQL Server databases (on-premises and Azure SQL Database).
  • Develop optimized stored procedures, functions, triggers, and views following best practices.
  • Design and maintain database schemas, tables, indexes, and constraints to support application and analytics needs.
  • Build and optimize data warehouses and data marts using dimensional modeling (star / snowflake schema).
  • Develop ETL / ELT pipelines using Azure Data Factory, SSIS, or equivalent tools.
  • Integrate and manage data across Azure Data Lake, Cosmos DB, and MongoDB environments.
  • Implement data ingestion, transformation, and synchronization across relational and NoSQL systems.
  • Create and maintain automation scripts for database deployment and schema management (CI / CD pipelines).

Database Administration & Operations

  • Install, configure, and maintain SQL Server instances (on-premises and cloud).
  • Perform query tuning, index optimization, and database performance troubleshooting.
  • Manage backup, restore, replication, and high availability configurations (AlwaysOn, Failover Clustering).
  • Ensure database security, access management, and compliance with policies (encryption, data masking, auditing).
  • Plan and execute database upgrades and migrations from on-prem to Azure.
  • Monitor and optimize Azure SQL, Cosmos DB, and MongoDB performance and cost efficiency.
  • Develop maintenance plans, monitoring scripts, and alerting mechanisms.
  • Data Lake, Cloud, and NoSQL Integration

  • Integrate structured and semi-structured data between SQL databases, Data Lakes, and NoSQL systems.
  • Design and implement data pipelines using Azure Data Factory, Azure Synapse, and Databricks (optional).
  • Work with Cosmos DB (SQL API, Mongo API, or Table API) for scalable cloud-native data storage.
  • Manage MongoDB clusters, sharding, replication, and schema design for application data.
  • Ensure data consistency, latency management, and partitioning strategies across hybrid data stores.
  • Collaboration & Best Practices

  • Collaborate with data engineers, architects, and developers to design efficient data solutions.
  • Define and enforce database development standards, naming conventions, and security guidelines.
  • Participate in code reviews, architecture planning, and data modeling discussions.
  • Provide technical guidance and mentorship to junior developers.
  • Contribute to project estimation, capacity planning, and architecture documentation.
  • Preferred Skills (Good To Have)

  • Familiarity with Databricks, Delta Lake, or Synapse Pipelines.
  • Experience with Power BI or other BI visualization tools.
  • Understanding of data governance, security, and compliance frameworks (GDPR, HIPAA, etc.).
  • Experience with DevOps and Infrastructure-as-Code (ARM Templates, Terraform).
  • Microsoft Certifications :
  • Azure Database Administrator Associate
  • Data Engineer Associate
  • Azure Solutions Architect Expert
  • Work Experience

  • Strong expertise in Microsoft SQL Server 2016 / 2019 / 2022 and Azure SQL Database.
  • Proficiency in T-SQL programming (queries, stored procedures, functions, triggers, views).
  • Solid experience in data modeling, index design, and query performance tuning.
  • Hands-on experience with Azure Data Factory, Azure Data Lake Storage, and Synapse Analytics.
  • Expertise in NoSQL databases – particularly Azure Cosmos DB and MongoDB (including schema design, indexing, and querying).
  • Working knowledge of data warehouse concepts and ETL frameworks.
  • Familiarity with CI / CD pipelines for database deployments (Git, Azure DevOps, Jenkins).
  • Experience with backup and disaster recovery strategies.
  • Knowledge of JSON, XML, and API-based data exchange.
  • Experience with PowerShell, Python, or Azure CLI for automation (optional but preferred).
  • Skills Required

    T-sql, Data Modeling, Database Administration, Ms Sql Server, Powershell, Ssis, ELT, Azure Data Factory, Mongodb, Cosmos DB, Python, Etl

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