Snowflake Data Developer

SVN SYSTECH INDIA; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

SVN SYSTECH INDIA is seeking a skilled ETL developer to design, implement, and maintain Snowflake-based data pipelines. You will work with cross-functional teams to translate business needs into scalable data processing solutions and optimize SQL queries using PL/SQL.

The role requires 3–8 years of experience in ETL development with Snowflake or similar tools, plus a strong grounding in data warehousing concepts including star schemas.

Qualifications

• 3-8 years of experience in developing ETL processes using Snowflake or similar tools.
• Strong understanding of data warehousing concepts, including dimensional modeling and star schema designs.
• Proficiency in writing complex SQL queries using PL/SQL programming language.

Responsibilities

• Design, develop, test, deploy and maintain Snowflake ETL processes to extract data from various sources and load it into the target database.
• Collaborate with cross-functional teams to understand business requirements and design scalable solutions for data processing.
• Develop complex SQL queries using PL/SQL to manipulate and transform data before loading it into Snowflake.
• Troubleshoot issues related to ETL process failures, identify root causes, and implement fixes.

Skills

ETL development

Data warehousing concepts

Problem solving

Tools

Snowflake

PL/SQL

SQL queries

Job description

Roles and Responsibilities :

• Design, develop, test, deploy and maintain Snowflake ETL processes to extract data from various sources and load it into the target database.
• Collaborate with cross-functional teams to understand business requirements and design scalable solutions for data processing.
• Develop complex SQL queries using PL/SQL to manipulate and transform data before loading it into Snowflake.
• Troubleshoot issues related to ETL process failures, identify root causes, and implement fixes.

Job Requirements :

• 3-8 years of experience in developing ETL processes using Snowflake or similar tools.
• Strong understanding of data warehousing concepts, including dimensional modeling and star schema designs.
• Proficiency in writing complex SQL queries using PL/SQL programming language.