Snowflake Developer
LocationBengaluru, Karnataka, India
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentWeekday's Client via platform
Company size10,000+ people
PostedSep 14, 2026 · 4w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
5+ years of experience
Design and develop scalable data pipelines and modern data architectures using Snowflake
Lead migration initiatives from legacy databases to Snowflake
Build and optimize ELT frameworks using DBT
Develop and orchestrate workflows using Apache Airflow
Design and implement data models, including Star Schema and Snowflake Schema
Develop ingestion pipelines for structured and semi-structured data
Create reusable frameworks for data validation, reconciliation, auditing, and monitoring
Optimize Snowflake objects
Develop technical design documents and migration runbooks
Perform code reviews and enforce engineering best practices
Assess and migrate data from legacy platforms
Perform source system analysis and database rationalization
Design migration strategies
Conduct data reconciliation and validation during migration
Optimize transformed workloads for Snowflake architecture
Execute cutover planning and post-migration stabilization
Provide L3 support for Snowflake data platforms and pipelines
Monitor and manage production data workloads
Troubleshoot data failures, performance issues, and pipeline disruptions
Perform root cause analysis (RCA) and implement permanent fixes
Support incident, problem, change, and release management activities
Work closely with business users and stakeholders to resolve production issues
Ensure adherence to SLA and operational support commitments
Participate in production releases and deployment activities
Skills
Snowflake
DBT
Airflow
Informatica
SQL
Datastage
Oracle
SQL Server
Teradata
Netezza
DB2
SAP HANA
This role is for one of the Weekday’s clients
Min Experience: 5+ years
Location: Pune, Maharashtra, India, Bengaluru, Karnataka, India
JobType: full-time
Key Responsibilities
Shift- Flexibility to shift working
Project Type- L3 Support
Requirements
Development Responsibilities
•
Design and develop scalable data pipelines and modern data architectures using Snowflake.
•
Lead migration initiatives from legacy databases to Snowflake.
•
Build and optimize ELT frameworks using DBT.
•
Develop and orchestrate workflows using Apache Airflow.
•
Design and implement data models, including Star Schema and Snowflake Schema.
•
Develop ingestion pipelines for structured and semi-structured data.
•
Create reusable frameworks for data validation, reconciliation, auditing, and monitoring.
•
Optimize Snowflake objects, including:
•
Virtual Warehouses
•
Clustering Keys
•
Materialized Views
•
Streams & Tasks
•
Dynamic Tables
•
Develop technical design documents and migration runbooks.
•
Perform code reviews and enforce engineering best practices.
Migration Responsibilities
•
Assess and migrate data from legacy platforms, including:
•
Oracle
•
SQL Server
•
Teradata
•
Netezza
•
DB2
•
SAP HANA
•
On-Prem Data Warehouses
•
Perform source system analysis and database rationalization.
•
Design migration strategies, including:
•
Full Data Loads
•
Incremental Loads
•
CDC (Change Data Capture)
•
Historical Data Migration
•
Conduct data reconciliation and validation during migration.
•
Optimize transformed workloads for Snowflake architecture.
•
Execute cutover planning and post-migration stabilization.
Good to have:
AMS / Production Support Responsibilities
•
Provide L3 support for Snowflake data platforms and pipelines.
•
Monitor and manage production data workloads.
•
Troubleshoot data failures, performance issues, and pipeline disruptions.
•
Perform root cause analysis (RCA) and implement permanent fixes.
•
Support incident, problem, change, and release management activities.
•
Work closely with business users and stakeholders to resolve production issues.
•
Ensure adherence to SLA and operational support commitments.
•
Participate in production releases and deployment activities.
Must-have skills
Snowflake, DBT, Airflow
Good-to-have skills
Informatica, SQL, Datastage