Developer – Amazon Web Service(AWS) Cloud Computing – Snowflake

HypTechie

Hyderabad

On-site

INR 1,200,000 - 1,400,000

Full time

14 days+
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Job summary

HypTechie is seeking a Developer – AWS Cloud & Snowflake to join our Hyderabad (TS) & Chennai (TN) offices. The role centers on building and optimizing data pipelines, integrating Snowflake with AWS Neptune, and designing graph data models.

You will implement DBT transformations, schedule ELT jobs, and collaborate with platform teams to ensure scalable, secure data architectures. Requires 4–7 years of experience, permanent position, office-based.

Qualifications

  • Strong hands-on expertise in AWS Cloud, Snowflake, and Graph Databases.
  • Experience in data modeling, schema design, and optimization.
  • Knowledge of ETL/ELT pipeline automation.

Responsibilities

  • Identify and select data sources, tables, and relationships between entities in Snowflake.
  • Establish secure connections between Snowflake and AWS Neptune using the AWS service stack, including S3 for staging and transformation.
  • Collaborate with platform teams to understand data structures and implement data extraction processes from Snowflake.
  • Load extracted data into AWS S3 for graph model transformation.
  • Analyze data, relationships, and entity mappings to design graph schemas.
  • Define and implement nodes, edges, and properties in AWS Neptune.
  • Create indexes to optimize query performance.
  • Review and refine schemas based on query patterns and performance.
  • Define transformation logic using DBT and develop DBT models.
  • Schedule and automate ELT pipelines with DBT and Snowflake.

Skills

AWS Neptune
Snowflake
AWS S3
Graph databases
DBT

Tools

Neo4J

Job description

Our Client is Looking for a Developer – AWS Cloud & Snowflake

Job Type: Permanent

Duration: Permanent

Work Mode: Office Only

Work Location: Hyderabad (TS) & Chennai (TN)

Experience: 4 – 7 Years (7+ years preferred in required skills)

Salary Range: ₹12,00,000 – ₹14,00,000

Key Technical Skills
  • AWS Neptune Database & AWS Neptune Analytics
  • Snowflake (Data Warehouse)
  • AWS S3 and AWS Cloud services
  • Graph Databases (Neptune / Graph DB / Neo4J)
  • DBT (Data Build Tool) for transformation
Roles & Responsibilities
  • Identify and select data sources, tables, and relationships between entities in Snowflake.
  • Establish secure connections between Snowflake and AWS Neptune using the AWS service stack, including S3 for staging and transformation.
  • Collaborate with platform teams to understand data structures and implement data extraction processes from Snowflake.
  • Load extracted data into AWS S3 for graph model transformation.
  • Analyze data, relationships, and entity mappings to design graph schemas.
  • Define and implement nodes, edges, and properties in AWS Neptune.
  • Create indexes to optimize query performance.
  • Review and refine schemas based on query patterns and performance.
  • Define transformation logic using DBT and develop DBT models.
  • Schedule and automate ELT pipelines with DBT and Snowflake.
Candidate Requirements
  • Strong hands-on expertise in AWS Cloud, Snowflake, and Graph Databases.
  • Experience in data modeling, schema design, and optimization.
  • Knowledge of ETL/ELT pipeline automation.
  • Familiarity with Neo4J or similar graph databases is an added advantage.
Important Notes for Candidates & Suppliers
  1. All required skill sets and years of experience must be clearly reflected in the resume and evaluation sheet.
  2. Candidate availability for screening calls must be mentioned in the evaluation sheet.
  3. Supplier comments should include: notice period, last working day confirmation, offers in hand, relocation details, etc.
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