Snowflake Developer

Weekday; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Weekday in Pune/Bengaluru, India, seeks a data engineer with 5+ years of experience to design scalable Snowflake-based data platforms. You will lead migrations, build ELT using DBT, and orchestrate workflows with Airflow, delivering robust data pipelines and scalable architectures.

Responsibilities include data modeling, ingestion, validation, and production support for data platforms, ensuring performance and reliability in complex environments.

Qualifications

• Must have strong experience with Snowflake data platforms.
• Hands-on skills in ETL/ELT with modern tooling.
• Experience migrating data to Snowflake from legacy systems.

Responsibilities

• Design and develop scalable data pipelines and 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 data models including Star and Snowflake schemas.
• Create ingestion pipelines for structured and semi-structured data.

Skills

Snowflake

DBT

Airflow

Tools

Informatica

SQL

Datastage

Job description

This role is for one of our clients

Industry: IT Services and IT Consulting

Seniority level: Mid-Senior level

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

₹15,00,000 - ₹25,00,000 a year

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