Senior SQL Developer - ( Azure or Snowflake )

🚀 WE’RE HIRING Senior SQL Developer / Engineer – Azure & Snowflake Hyderabad

⚡ Immediate Joiners only

📍 Location: Hyderabad

💼 Employment Type: Full-Time

⚡ Immediate Joiners Preferred

💰 Salary: Up to 10 LPA (PF Included) (Based on experience)

🕒 Experience : 4+ Years

We are looking for a highly skilled Senior SQL Developer with strong experience in Microsoft Azure or Snowflake to design, develop and optimize enterprise data solutions. Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer ,

The successful candidate will have excellent SQL development skills, a strong understanding of data warehousing and data modelling, and hands-on experience building cloud-based data pipelines and analytical platforms. The role involves working closely with data architects, engineers, analysts and business stakeholders to deliver reliable, scalable and high-performing data solutions.

Key Responsibilities

• Design, develop and maintain complex SQL queries, stored procedures, views, functions and database objects.
• Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer
• Build and optimise data transformation processes for large-scale datasets.
• Develop data pipelines using Azure Data Factory, Azure Synapse Analytics and related Azure services.
• Design and implement data solutions within Snowflake.
• Develop Snowflake tables, views, stored procedures, streams, tasks, stages and file formats.
• Create and maintain ETL and ELT workflows across Azure, Snowflake and source systems.
• Analyse and improve the performance of SQL queries, data pipelines and warehouse workloads.
• Design dimensional models, including star and snowflake schemas, fact tables and dimension tables.
• Implement data quality checks, validation rules, reconciliation processes and error-handling frameworks.
• Support data migration and modernisation programmes from on-premises platforms to Azure and Snowflake.
• Develop incremental loading, Change Data Capture and Slowly Changing Dimension solutions.
• Troubleshoot data issues, pipeline failures and performance bottlenecks.
• Work with business analysts and stakeholders to translate business requirements into technical solutions.
• Produce technical documentation, data mappings, source-to-target specifications and operational support guides.
• Participate in code reviews and promote SQL, Azure and Snowflake development best practices.
• Support production deployments, release management and incident resolution.

Essential Skills and Experience

• Strong commercial experience as a SQL Developer, Data Engineer or Data Warehouse Developer.

Advanced SQL development skills, including:

• Complex joins and subqueries
• Common Table Expressions
• Window functions
• Temporary tables
• Stored procedures and functions
• Query execution plans
• Indexing and partitioning
• Performance optimisation
• Transaction and error handling
• Strong experience with Microsoft SQL Server, Azure SQL Database or Azure Synapse Analytics.
• Hands-on experience with Snowflake data warehousing.
• Experience developing ETL and ELT solutions using Azure Data Factory.
• Strong understanding of data warehousing concepts and dimensional modelling.
• Experience working with large datasets and high-volume data processing.

Knowledge of Snowflake architecture, including:

• Virtual warehouses
• Databases and schemas
• Micro-partitioning
• Clustering
• Time Travel
• Zero-Copy Cloning
• Streams and Tasks
• Snowpipe
• Internal and external stages
• Secure data sharing
• Experience with data loading from Azure Data Lake Storage, Blob Storage, APIs, flat files and relational databases.
• Strong troubleshooting, analytical and problem-solving skills.
• Experience working in Agile delivery environments.
• Good communication skills and the ability to work with both technical and non-technical stakeholders.

Azure Technology Experience

Candidates should have practical experience with several of the following:

• Azure Data Factory
• Azure Synapse Analytics
• Azure SQL Database
• Azure Data Lake Storage Gen2
• Azure Blob Storage
• Azure Functions
• Azure Key Vault
• Azure DevOps
• Microsoft Fabric
• Azure Databricks
• Azure Monitor and Log Analytics
• Managed Identities and Azure Entra ID

OR

Snowflake Experience

Candidates should demonstrate experience in:

• Developing scalable Snowflake data models
• Loading structured and semi-structured data
• Working with JSON, XML, Parquet and CSV fo…