Relanto

Senior Data Engineer - Snowflake

Bengaluru, India · Hyderabad, India · Pune, India

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

Keywords matched to this posting
Fit score before you apply
Cover letter included

Matched against 2.4M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

See how it works

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family: Data & ML
Seniority: Senior
Country: IN
Work mode: On-site / unstated
First seen by hirly: 23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Experience: 5+ Years

Location: Bengaluru/Hyderabad/Pune

Employment Type: Full-Time

Work Mode: Hybrid

Job Summary

We are looking for a Senior Data Engineer – Snowflake with 5+ years of experience in designing, developing, and maintaining scalable data solutions. The ideal candidate should have strong hands-on experience with Snowflake, dbt, SQL, and Python , along with good understanding of modern data engineering practices.

The candidate will be responsible for building reliable data pipelines, developing data transformation workflows, optimizing Snowflake workloads, and ensuring data quality and performance.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and data transformation workflows using Snowflake, dbt, SQL, and Python .
Develop and optimize Snowflake tables, views, queries, stored procedures, and data models .
Build and maintain dbt models , including incremental models, snapshots, tests, macros, and model dependencies.
Write complex and optimized SQL queries for data transformation, analysis, and reporting requirements.
Develop Python scripts and utilities for data processing, automation, and pipeline orchestration .
Implement data ingestion and transformation processes from multiple source systems into Snowflake.
Perform data validation, reconciliation, and quality checks to ensure data accuracy and consistency.
Analyze and optimize Snowflake query performance, warehouse utilization, and data processing efficiency.
Implement appropriate data modeling techniques, including fact/dimension modeling and Slowly Changing Dimensions (SCD) .
Troubleshoot data pipeline failures and resolve data quality and performance issues.
Collaborate with data analysts, business stakeholders, and other engineering teams to understand data requirements.
Follow best practices for code quality, version control, testing, documentation, and deployment.

Mandatory Skills

5+ years of experience in Data Engineering
Strong hands-on experience with Snowflake
Strong proficiency in SQL
Hands-on experience with dbt
Good programming experience in Python
Strong understanding of ETL/ELT concepts and data pipelines
Experience with data modeling and database concepts
Experience with data validation and data quality processes
Good understanding of Snowflake performance optimization

Original posting on Relanto's site ↗

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job