ETL with snowflake, python, azure, data ware house

SSV Technologies Inc.; Hyderabad; On-site; INR 800,000 - 1,400,000; Full time

Job summary

SSV Technologies Inc. is seeking an ETL Developer with strong Snowflake, Python and Azure cloud experience. The role focuses on designing, building, and optimizing scalable data pipelines and ensuring efficient data integration across enterprise systems.

The ideal candidate will handle ETL/ELT processes, cloud-based data platforms, and modern data engineering practices, collaborating with architects, analysts, and stakeholders to deliver robust data warehousing solutions.

Qualifications

• Hands-on experience designing, building, and optimizing scalable ETL/ELT pipelines.
• Experience with cloud-based data platforms and modern data engineering practices.
• Strong data governance, quality, and performance optimization mindset.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for data ingestion and transformation.
• Work with Snowflake for data modeling, performance tuning, and optimization.
• Build and manage data pipelines using Azure services (ADF, ADLS, etc.).
• Integrate data from databases, APIs, and flat files.
• Ensure data quality, integrity, and governance across systems.
• Optimize and troubleshoot data workflows and performance issues.
• Collaborate with data architects, analysts, and business stakeholders.
• Implement best practices in data warehousing and ETL design.
• Support deployment, monitoring, and maintenance of data pipelines.

Skills

ETL/ELT development

Snowflake

Python

Azure cloud services

Data warehousing

Data modeling

Tools

Snowflake

Azure Data Factory (ADF)

Azure Data Lake Storage (ADLS)

APIs

Databases

Job description

ETL with snowflake, python, azure, data ware house

Location:Hyderabad, Telangana, India (5 days onsite)

Role Description

Job Summary

We are seeking a skilledETL Developerwith strong expertise inSnowflake, Python, Azure cloud services, and data warehousing. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and ensuring efficient data integration across enterprise systems.

This role requires hands-on experience inETL/ELT processes, cloud-based data platforms, and modern data engineering practices.

Key Responsibilities

• Design, develop, and maintainETL/ELT pipelinesfor data ingestion and transformation
• Work withSnowflakefor data modeling, performance tuning, and optimization
• Build and manage data pipelines usingAzure services(ADF, ADLS, etc.)
• Integrate data from multiple sources includingdatabases, APIs, and flat files
• Ensuredata quality, integrity, and governanceacross systems
• Optimize and troubleshootdata workflows and performance issues
• Collaborate withdata architects, analysts, and business stakeholders
• Implementbest practices in data warehousing and ETL design
• Supportdeployment, monitoring, and maintenanceof data pipelines