Walk-in | Snowflake Developer

Intellics Global Services; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Intellics Global Services is seeking a data engineering professional in Hyderabad to drive scalable data architectures and pipelines using Snowflake. The role emphasizes SQL/Python for data analysis, ETL design, and data modelling across large historical datasets.

The ideal candidate will evaluate emerging technologies and implement secure, compliant data solutions for cross-functional teams, with a focus on Snowflake architecture and Snowpipe.

Qualifications

• Strong hands-on knowledge of SQL and/or Python for data analysis and ad hoc query development.
• Good understanding of ETL processes and the ability to translate designs into dimensions and facts while considering source change data capture.
• Experience with cloud data warehouse technologies such as Snowflake is preferred.
• Understanding of data modelling for data science projects, particularly working with large historical snapshot tables and multiple features.
• Fast learner with the ability to evaluate emerging technologies and design scalable, distributed data architectures.
• Design and implement scalable data pipelines and architectures in Snowflake, optimising data flow for cross-functional teams.
• Develop and optimise complex SQL queries and scripts to support data transformation, aggregation, and analysis.
• Ensure data security and compliance measures are implemented in line with industry standards and regulations.
• Strong understanding of data modelling principles and best practices.
• Experience with Snowflake data warehousing, including architecture, management, and Snowpipe.

Skills

SQL

Python

Data analysis

ETL processes

Data modelling

Snowflake

Data pipelines

Cloud data warehousing

Tools

Snowflake

Job description

JD:

• Strong hands-on knowledge of SQL and/or Python for data analysis and ad hoc query development.
• Good understanding of ETL processes and the ability to translate designs into dimensions and facts while considering source change data capture.
• Experience with cloud data warehouse technologies such as Snowflake is preferred.
• Understanding of data modelling for data science projects, particularly working with large historical snapshot tables and multiple features.
• Fast learner with the ability to evaluate emerging technologies and design scalable, distributed data architectures.
• Design and implement scalable data pipelines and architectures in Snowflake, optimising data flow for cross-functional teams.
• Develop and optimise complex SQL queries and scripts to support data transformation, aggregation, and analysis.
• Ensure data security and compliance measures are implemented in line with industry standards and regulations.
• Strong understanding of data modelling principles and best practices.
• Experience with Snowflake data warehousing, including architecture, management, and Snowpipe.