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182 open roles · AI & Data Engineering

Snowflake Developer - R01568220

Other
Posted 2 months ago
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Where you can work

Hybrid

2 workplaces

  • Bengaluru, Karnataka, India
  • Pune, Maharashtra, India
View location wording from the posting
  • Bangalore, Karnataka, India
  • Pune, Maharashtra, India

Role overview

Extracted from the posting. Read the employer’s full description below.

  • Snowflake, Airflow, DBT

What they are looking for

  • 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.
Show all 37 items
  • Develop ingestion pipelines for structured and semi-structured data.
  • Create reusable frameworks for data validation, reconciliation, auditing, and monitoring.
  • 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.
  • Oracle
  • SQL Server
  • Teradata
  • Netezza
  • DB2
  • SAP HANA
  • On-Prem Data Warehouses
  • Perform source system analysis and database rationalization.
  • 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.
  • 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.

Employer description

Data Specialist

Primary Skills

  • Snowflake, Airflow, DBT

Specialization

  • Snowflake Lead Developer

Job requirements

Key Responsibilities

Project Type: L3 Support

Flexibility to shift working is Mandatory.

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.
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