Snowflake Developer

Weekday (YC W21)

Bengaluru

On-site

INR 1,800,000 - 3,000,000

Full time

6 days ago
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Job summary

Weekday (YC W21) in India is seeking a mid-senior data engineer to design and implement scalable data pipelines using Snowflake, DBT, and Airflow across migration projects.

You will lead migrations from Oracle, SQL Server, Teradata, SAP HANA to Snowflake, develop ELT frameworks, and provide L3 production support, with a focus on performance, data quality, and operational excellence.

Qualifications

  • 5+ years of experience in data engineering or related field.
  • Experience with Snowflake data platforms and ELT pipelines.
  • Experience migrating data from legacy systems and designing data models.

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 (Oracle, SQL Server, Teradata, SAP HANA, On-Prem DWs).
  • Design migration strategies (Full/Incremental CDC, Historical data).
  • 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 and performance issues.
  • Perform RCA and implement permanent fixes.

Tools

Snowflake
DBT
Airflow
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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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
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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