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  3. Snowflake Developer

Snowflake Developer

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Weekday AI logo

Snowflake Developer

Weekday AI

Location

Pune, Maharashtra, India

Experience

Mid

Posted

Jul 22, 2026

Apply by

August 21, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Sign in to apply on web or download the app for more options.

Job 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 Key Responsibilities Shift- Flexibility to shift working Project Type- L3 Support 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

Key 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, and Dynamic Tables.
  • Develop technical design documents and migration runbooks.
  • Perform code reviews and enforce engineering best practices.
  • Assess and migrate data from legacy platforms such as Oracle, SQL Server, Teradata, Netezza, DB2, SAP HANA, and On-Prem Data Warehouses.
  • Perform source system analysis and database rationalization.
  • Design migration strategies, including Full Data Loads, Incremental Loads, CDC, and Historical Data Migration.
  • 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 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 Required

SnowflakeDBTAirflowData PipelinesData ModelingData MigrationELT FrameworksApache AirflowStar SchemaSnowflake SchemaData ValidationData ReconciliationData AuditingData MonitoringVirtual WarehousesClustering KeysMaterialized ViewsStreams & TasksDynamic TablesTechnical Design DocumentsMigration RunbooksCode ReviewsEngineering Best PracticesSource System AnalysisDatabase RationalizationFull Data LoadsIncremental LoadsCDCHistorical Data MigrationRoot Cause AnalysisIncident ManagementProblem ManagementChange ManagementRelease ManagementSLA ManagementCommunicationProblem SolvingAttention to DetailCollaborationInformaticaSQLDatastage

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Job Overview

Salary

—

Job Type

Full-time

Experience

Mid

Location

Pune, Maharashtra, India

Application Deadline

August 21, 2026

Total Applicants

0

About Weekday AI

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Weekday AI is a leading company in the Technology sector, known for innovation and employee-centric culture.

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