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Weekday AI

Snowflake Developer

Pune
Level
Mid

Not stated in the posting: salary, work type, visa.

Open. First seen 3 October 2026.

Apply on the company's site →

The team: Weekday's Client via platform HIRES STEADILY

This role is one of 215 open in Weekday's Client via platform. 106 were posted in the last 30 days and the oldest in September: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (75 of 215), CI/CD (62 of 215), AWS (58 of 215), SQL (58 of 215), Azure (49 of 215), GCP (39 of 215), LLM (39 of 215)

OTHER ROLES ON THIS TEAM

From the team and dates on Weekday AI's own job board.

About the role

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

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