Senior Developer (Data Warehousing)

HR India Solutions; Bengaluru, Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

HR India Solutions seeks a Senior Azure Data Engineer to work with our Data Analytics team on data warehousing initiatives, driving adoption, optimization, and iteration across multiple integrations and technologies. The candidate should bring 6–8 years of project-level experience in technical implementations.

Location notes include Mumbai and Bangalore; the role requires strong SQL/NoSQL skills, data model creation, and expertise in Azure cloud services, ADLS, Cosmos DB, and related tooling.

Qualifications

• Minimum experience of working in projects as a Senior Azure Data Engineer.
• B.Tech/B.E degree in Computer Science or Information Technology.
• Experience with SQL, TSQL (SQL Server, Azure SQL, Azure Synapse or similar) or NO SQL (Mongo DB or similar)
• Experience in implementation of Data warehouse platform and creation of physical datamodel from logical / conceptual datamodel.
• Experience in maintenance of data pipelines, data mart, stored procedures, Table Functions, Triggers and Index.
• Extensive knowledge on database optimization techniques.
• Experience in creation of schemas, users and user roles.
• Experience in working with high volume structured, semi structured and unstructured data.
• Experience in database technology in both On-prem and cloud.
• Expertise in Azure ADLS, BLOB Storage, Cosmos DB or Similar.
• Understand Business Requirements, Interacting with business users and or reverse engineering existing data products.
• Good Understanding and working knowledge of distributed databases and Pipelines.
• Ability to analyze and identify the root cause for technical issues.
• Proven ability to use relevant data analytics approaches and tools to problem solve and trouble shoot.
• Excellent documentation and communication skills.

Responsibilities

• Design, build, deliver, and maintain data warehousing solutions.
• Develop business requirements, specifications, process flows, and application design.
• Configure, test, and deploy data integrations and pipelines.
• Collaborate with Data Analytics team to optimize adoption and iteration.

Skills

Senior Azure Data Engineer

SQL

NoSQL

Education

B.Tech/B.E in CS/IT

Tools

SQL Server

Azure SQL

Azure Synapse

MongoDB

Azure ADLS

Cosmos DB

Job description

Were currently seeking a Senior Developer for data warehousing to work closely with our Data Analytics team in driving the adoption, optimization, and iteration, leveraging multiple integrations and technologies. The ideal candidate will have at least 6-8 years of experience with technical implementation of customer projects. Using their expertise, problem-solving ability, and creative flair, the consultant will design, build, deliver, and maintain. The consultant will also help develop business requirements, specifications, process flows, application design, and configuration, along with testing and deployment.

Locations

Mumbai, Bangalore

Required Qualifications & Experience

• Minimum experience of working in projects as a Senior Azure Data Engineer.
• B.Tech/B.E degree in Computer Science or Information Technology.
• Experience with SQL, TSQL (SQL Server, Azure SQL, Azure Synapse or similar) or NO SQL (Mongo DB or similar)
• Experience in implementation of Data warehouse platform and creation of physical datamodel from logical / conceptual datamodel.
• Experience in maintenance of data pipelines, data mart, stored procedures, Table Functions, Triggers and Index.
• Extensive knowledge on database optimization techniques.
• Experience in creation of schemas, users and user roles.
• Experience in working with high volume structured, semi structured and unstructured data.
• Experience in database technology in both On-prem and cloud.
• Expertise in Azure ADLS, BLOB Storage, Cosmos DB or Similar.
• Understand Business Requirements, Interacting with business users and or reverse engineering existing data products.
• Good Understanding and working knowledge of distributed databases and Pipelines.
• Ability to analyze and identify the root cause for technical issues.
• Proven ability to use relevant data analytics approaches and tools to problem solve and trouble shoot.
• Excellent documentation and communication skills.