Snowflake Developer

Weekday AI (YC W21); Pune District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Weekday AI (YC W21) is seeking an experienced Data Engineer to design and build scalable data pipelines, migrate legacy databases to Snowflake, and optimize ELT processes using DBT and Airflow. The role emphasizes data modeling, ingestion, and workflow orchestration across on-prem and cloud environments.

The candidate should have strong experience with Snowflake, DBT, Airflow, and a good background in ETL tools like Informatica or Datastage is a plus.

Qualifications

• Must-have skills Snowflake, DBT and Airflow.
• Good-to-have skills Informatica, SQL, Datastage.

Responsibilities

• Design and develop scalable data pipelines and modern data architectures.
• Lead migration initiatives from legacy databases to Snowflake.
• Build and optimize ELT frameworks using DBT and orchestrate workflows with Airflow.
• Design data models including Star and Snowflake schemas.
• Develop ingestion pipelines for structured and semi-structured data.

Skills

Snowflake

DBT

Airflow

SQL

Tools

Informatica

Datastage

Job description

Job Description:

This role is for one of the Weekdays 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

Requirements: