Data Engineer (Snowflake, Sql, Python)

Careernet; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Careernet Bengaluru is seeking an experienced Data Engineer to design, develop, and maintain scalable data ingestion pipelines and data models using Snowflake and Snowpipe.

You will build data warehouse solutions to support reporting, analytics, and business data consumption while developing reliable data processing workflows and addressing production issues. The role requires 6–10 years in data engineering with hands-on Snowpipe and Snowflake expertise.

Qualifications

• 6–10 years of professional experience in data engineering, data warehousing, or related engineering roles.
• Hands-on experience with Snowpipe for continuous or automated data ingestion.
• Strong experience designing and implementing solutions on Snowflake cloud data warehouse.
• Practical understanding of scalable data pipelines, data modeling, ETL/ELT, and warehouse architecture.
• Experience supporting production data platforms, resolving pipeline issues, and improving reliability and maintainability.

Responsibilities

• Design, develop, and maintain scalable data ingestion pipelines and data models using Snowflake and Snowpipe.
• Build and enhance data warehouse solutions that support reporting, analytics, and business data consumption.
• Develop reliable data processing and transformation workflows for complex data engineering requirements.
• Troubleshoot pipeline failures, data quality issues, query performance problems, and production incidents.
• Own medium- to high-complexity projects from technical design through implementation and support.

Skills

Snowflake

Snowpipe

SQL

Python

Education

B.Sc., B.E., B.Tech, or B.Tech M.Tech Dual Degree in Computer Science, Computer Engineering, Computer Applications, or a related discipline.

Job description

Key Skills:

Snowflake, Snowpipe, SQL, Python

Roles and Responsibilities:

• Design, develop, and maintain scalable data ingestion pipelines and data models using Snowflake and Snowpipe.
• Build and enhance data warehouse solutions that support reporting, analytics, and business data consumption.
• Develop reliable data processing and transformation workflows for complex data engineering requirements.
• Troubleshoot pipeline failures, data quality issues, query performance problems, and production incidents.
• Own medium- to high-complexity projects from technical design through implementation and support.

Skills Required:

• 6 - 10 years of professional experience in data engineering, data warehousing, or related engineering roles.
• Hands-on experience with Snowpipe for continuous or automated data ingestion.
• Strong experience designing and implementing solutions on Snowflake cloud data warehouse.
• Practical understanding of scalable data pipelines, data modeling, ETL/ELT, and warehouse architecture.
• Experience supporting production data platforms, resolving pipeline issues, and improving reliability and maintainability.

Good to Have:

• Python and SQL experience for data engineering, transformation, analysis, and reporting workflows.

Education:

B.Sc., B.E., B.Tech, or B.Tech M.Tech Dual Degree in Computer Science, Computer Engineering, Computer Applications, or a related discipline.