Senior Snowflake developer

The Opportunity

We're looking for aSenior Consultant

Key Responsibilities

• Deliver Snowflake/Azure jobs and frameworks to support client needs.
• Develop integrations with various third-party applications.
• Merge, customize, and deploy data models based on business requirements.
• Work with clients across different phases of the implementation lifecycle.
• Exhibit a proactive, solution-oriented mindset with a readiness to learn new technologies.

Skills and Attributes for Success

• Deliver large or medium-scale DWH programs with advanced Snowflake/Azure knowledge.
• Demonstrate expert-level consulting skills and industry expertise.

Mandatory Requirements

• 810 years of experience in

  Snowflake/Azure

  (Development + Administration) and strong

  DWH concepts

  .

• 46 end-to-end DWH implementation

  projects.

• Hands-on experience in Matillion (Mandatory).

• Proficiency in using Python within Snowflake/Azure for auditing, data quality, and automation.

• Experience withAPI/Web Service

  integrations for multiple source/target systems.
• Strong knowledge of

  data modeling and ETL design.

• Proficiency in developing complex mappings, workflows, and load plans.

• Expertise in ETL performance tuning and debugging.

• Experience indata migration

  using SQL Loader, import/export tools.

Desirable Skills

• Strong grasp of

  ELT/ETL concepts

  , design, and coding.
• Expertise in

  SQL/PLSQL

  development, performance tuning, and optimization.
• Experience in creating and managing

  Snowflake/Azure

  objects (Tables, Views, Stored Procedures, etc.).
• Understanding of

  partitioning, indexing

  , and

  analytical functions

  for optimal performance.
• Strong communication, analytical, and problem-solving skills.
• Ability to translate business requirements into technical ETL designs.

• BFSI domain knowledge

  preferred.
• Capability to drive

  Snowflake/Azure infrastructure

  initiatives.
• Knowledge of

  complex financial data structures

  and reporting frameworks is an advantage.

Qualifications

• Bachelor's or Master's degree in

  Computer Science / Engineering / MCA

  .
• Certifications in

  Data Management

  domain preferred.
• Strong customer service orientation with ability to collaborate across global teams.