Senior Data Engineer - Snowflake
- Location
- Bengaluru, KA, India; Hyderabad, TG, India; Pune, MH, India
- Work mode
- On-site
- Employment type
- Full-time
About the job
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 .
- 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.
- 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
From Relanto Global's careers page (Keka), checked 30 Oct 2026.
How to apply
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- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- Relanto Global will reply to you directly. No real employer asks you for money to apply.
Posted 15 Sept 2026 · checked 30 Oct 2026 · Report this job
