Snowflake Data Engineer

7 days ago


Pune, Maharashtra, India VidPro Consultancy Services Full time
Job Description

Location: Hyderabad / Bangalore / Pune

Experience: 4-8 Years

Work Mode: Hybrid

Mandatory Skills: Snowflake, Snowpipe, SQL, ETL, Data warehouse, Data Modeling, ETL,DBT,Architecture and optimization,Snowpro Certified Mandatory,Optimization,

AWS & Python (good to have)

Role Overview

We are looking for a skilled and experienced Snowflake Data Engineer to join our team. The ideal candidate will have in-depth expertise in Snowflake data warehousing and data engineering principles, along with hands-on experience in SQL, ETL processes, data modeling, and optimization.

Key Skills & Qualifications

- Experience: Minimum 4+ years of experience in data engineering, with at least 2+ years focused on Snowflake.
- Advanced knowledge of Snowflake architecture and features, including its unique capabilities.
- Expertise in SQL and experience with Snowflake data warehousing concepts.
- Strong background in data modeling and optimization techniques to ensure efficient storage and retrieval.
- Familiarity with ETL processes, tools, and methodologies.
- Experience with AWS (Amazon Web Services) is a plus.
- Experience with Python is a bonus for automation and additional data processing tasks.
- Strong problem-solving skills and the ability to work in a collaborative environment.

Key Responsibilities

- Develop, implement, and maintain Snowflake data pipelines and data models to support analytics and business needs.
- Work with Snowflake architecture and features to design, build, and optimize data models.
- Develop complex SQL queries for data extraction, transformation, and analysis.
- Ensure efficient and optimized data structures, performance, and scalability of Snowflake data models.
- Implement data integration and ETL processes using Snowflake, ensuring smooth and timely data flow.
- Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver high-quality, reliable data.
- Optimize and fine-tune SQL queries, Snowflake data models, and ETL workflows to enhance performance.
- Follow best practices for Snowflake architecture, security, and data management.
- (Good to have) Knowledge and experience working with AWS for cloud-based data infrastructure.
- (Good to have) Exposure to Python for additional data manipulation and automation tasks.

Education: B.Tech in any branch or specialization.

Skills: python,data pipeline,aws,etl,data modeling,snow pro [...] warehouse,architecture and optimization,data models,models

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