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Snowflake Developer

Weekday AI

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.

Assess and migrate data from legacy platforms, including

  • 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.

Preferred

  • Informatica, SQL, Datastage

Snowflake Developer

Weekday AI · Pune, India · Full-time · Posted 2026-09-14

Description

  • This role is for one of the Weekday's clients
  • Min Experience: 5+ years
  • Location: Pune, Maharashtra, India, Bengaluru, Karnataka, India
  • JobType: full-time

Shift- Flexibility to shift working

Project Type- L3 Support

Migration Responsibilities

  • 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.

Must-have skills

Snowflake, DBT, Airflow

Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/FE7D273529/apply)