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Snowflake Data Engineer (Full time with the Fortune 500 Company's)

Actively Reviewing the Applications

HARP

India, Telangana, Hyderabad Full-Time On-site
Posted 19 hours ago • Apply by June 8, 2026

Job Description

Job Description

Title - Snowflake Data Engineer

Exp - 7 to 15 years

Location- Hyderbad

NP - Immediate to 20 days


Key Responsibilities:

• Develop and maintain scalable data pipelines using Snowflake and DBT.

• Design and implement ETL/ELT processes for structured and semi-structured

data.

• Collaborate with data analysts, scientists, and business stakeholders to

understand data needs.

• Ensure data quality, integrity, and security across all data assets.

• Participate in Agile ceremonies and contribute to sprint planning and

retrospectives.

• Use GitHub for version control, code reviews, and CI/CD deployments.

• Document data workflows, architecture, and business logic clearly.

Must-Have Skills:

Snowflake

• Develop and manage Snowflake objects: tables, views, functions, stored

procedures, stages, and file formats.

• Implement advanced features: CDC, Streams, Snowpipe, Time Travel, and

Cloning.

• Write dynamic SQL and utilize Python/JavaScript within Snowflake for data

processing.

• Work with semi-structured data (JSON/XML), APIs, and tools like Postman for

integration and validation.

• Build Dynamic Tables, Materialized Views, and Tasks for scalable workflows.

• Strong experience in performance tuning, access control, and data

governance.

DBT (Data Build Tool)

• Build modular SQL models across staging, intermediate, and mart layers.

• Hands-on with incremental models, DBT tests, and Jinja templating/macros.

• Exposure to DBT documentation, lineage graphs, and environment

configuration.

• Integrate DBT with GitHub and deploy via CI/CD pipelines.

Python

• Scripting for data transformation, automation, and API integrations.

• Familiarity with libraries like Pandas, NumPy, and SQLAlchemy

Required Skills

Stored Procedures Documentation JavaScript Postman Agile Automation Performance Tuning Python SQL Access Control Snowflake GitHub CI/CD Pipelines Pandas NumPy Data Governance ETL JSON XML CI/CD Data quality Validation Governance DBT Scripting Version control Sprint planning Macros Data processing API integrations Data transformation Business logic Templating Cloning Data pipelines ELT Configuration Materialized Views Time Travel Agile ceremonies CDC Jinja Streams Intermediate
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