DEVELOPER SNOWFLAKE DATA PLATFORM - L3

United States Digital Space LLC

Karnataka

On-site

INR 3,500,000 - 5,200,000

Full time

14 days+

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Job summary

the company Limited in Bengaluru, Karnataka is seeking a Senior Developer for Snowflake Data Platform. The role focuses on building, testing, and delivering high-quality data solutions aligned with client requirements.

Candidates should have 11-15 years of experience, expertise in Snowflake architecture, data modeling, and data pipelines, and be capable of mentoring engineers while coordinating with cross-functional teams for quality delivery.

Qualifications

  • Snowflake architecture and Lakehouse design.
  • Data Platform modernization using Snowflake.
  • Snowflake services experience: Snowpark, Cortex AI.

Responsibilities

  • Design and implement data solutions on Snowflake platforms.
  • Collaborate with cross-functional teams to deliver robust data pipelines.
  • Mentor data engineers and ensure code quality via unit testing and UAT.

Skills

Snowflake
Python
SQL
Data Modeling
Data Pipeline
Pyspark
Mentoring
Cloud Platforms

Tools

Docker
Kubernetes
Snowflake

Job description

Job Title: DEVELOPER SNOWFLAKE DATA PLATFORM - L3City: BengaluruState/Province: KarnatakaPosting Start Date: 8/6/26the company Limited (NYSE: WIT, BSE: 507685, NSE: the company) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.thecompany.com
Role Purpose

The purpose of this role is to develop and test software modules based on client requirements and prepare project documentation while coordinating with cross-functional teams to ensure quality delivery.

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Areas of responsibility

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Gathering of requirements-Assist in conducting workshops and discussions with client stakeholders to gather business process requirements.

Coding and Configuration-\"Develop and deliver code for assigned modules, in alignment with client requirements ensuring proper integration with system components.

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Testing and Trial Runs-\"Execute testing for assigned modules, validate functionality across required interactions, and participate in User Acceptance Testing (UAT) sessions.

Implementation-Participate in implementation of software application and its integration with other systems to ensure stability.

Maintain Documentation-Prepare detailed reports and documentation on project specifications, activities, and status, while presenting information using flowcharts, layouts, diagrams, code comments, and clear, well-structured code.

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Stakeholder Collaboration-Collaborate with cross functional teams to understand requirements, support development activities, check system compatibility, and ensure solutions meet expected standards.

Job Requirements
Snowflake Architect(11-15 years):

Snowflake and Lakehouse architectureData Platform Modernization experience to snowflakeSnowflake certificationDesigning Snowflake services experience- Snowpark,cortex AIData Model experience on SnowflakeData Pipeline build on SnowflakeMedallion Architecture and DataMesh/Data Products experienceMentoring Data Engineers on solutionsAzure /AWS data services experienceTechnical design experience of Data LakeData Governance and Data Quality solutionsSolution Architecture

Coding/scripting experience developed in a commercial/industry setting (Python, and SQL).

Databases \& frameworks:

Working experience with operational data stores, data warehouse, big data technologies and data lakes.

Experience working with relational and non-relational databases to build data solutions, such as SQL Server/Oracle, experience with relational and dimensional data structures.

Good knowledge of containers (Docker, Kubernetes etc)

Cloud :

Experience with any cloud(AWS,Azure)

Good understating of cloud storage, and snowflake resource provisioning

Key Responsibilities

Data Architect, Data Engineer, SQL/No SQL scripting, Coding Python/pyspark, ETL Job deployment, Code design, Unit testing and UAT Support

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