Snowflake Developer (Architect)

VidPro Consultancy Services; Gurugram District; Hybrid; INR 80,000 - 140,000; Full time

Job summary

An innovative consultancy is seeking a skilled Snowflake Developer to join its Data Engineering team. This role offers the chance to work with cutting-edge technologies in a hybrid work environment, focusing on building scalable data solutions. The ideal candidate will have extensive experience in Data Warehousing, SQL, and Informatica, and will play a key role in optimizing data architectures and ensuring high data quality standards. If you're passionate about data and eager to make an impact, this opportunity is perfect for you.

Qualifications

• 8+ years of experience in Data Engineering with a focus on Data Warehousing.
• Expertise in Snowflake and SQL for data transformation and reporting.

Responsibilities

• Develop and maintain data pipelines using Snowflake and DBT.
• Collaborate with stakeholders to translate business requirements into technical solutions.

Skills

Snowflake

SQL

Informatica

Power BI

Data Warehousing

Data Analysis

Python

Fivetran

DBT

Business Intelligence

Education

Graduate degree in Computer Science

Graduate degree in Statistics

Graduate degree in Informatics

Graduate degree in Information Systems

Tools

Informatica PowerCenter

Power BI

Fivetran

Airflow

DBT

Sigma Computing

Tableau

Azure

AWS

GCP

Job description

1 week ago Be among the first 25 applicants

VidPro Consultancy Services provided pay range

This range is provided by VidPro Consultancy Services. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Exp: 8 - 14 Yrs
Work Mode: Hybrid
Location: Bangalore, Chennai, Kolkata, Pune and Gurgaon
Primary Skills: Architect, Snowflake, Snowpipe, SQL, DWH, Power BI, ETL and Informatica.

We are seeking a skilled Snowflake Developer with a strong background in Data Warehousing (DWH), SQL, Informatica, Power BI, and related tools to join our Data Engineering team. The ideal candidate will have 8+ years of experience in designing, developing, and maintaining data pipelines, integrating data across multiple platforms, and optimizing large-scale data architectures. This is an exciting opportunity to work with cutting-edge technologies in a collaborative environment and help build scalable, high-performance data solutions.

Key Responsibilities

1. Minimum of 5+ years of hands-on experience in Data Engineering, with a focus on Data Warehousing, Business Intelligence, and related technologies.
2. Develop and maintain data pipelines using Snowflake, Fivetran, and DBT for efficient ELT processes across various data sources.
3. Write complex, scalable SQL queries, including stored procedures, to support data transformation, reporting, and analysis.
4. Implement advanced data modeling techniques, such as SCD Type-2, using DBT. Design and optimize high-performance data architectures.
5. Collaborate with business stakeholders to understand data needs and translate business requirements into technical solutions.
6. Perform root cause analysis on data-related issues, ensuring high data quality standards.
7. Work closely with cross-functional teams to integrate data solutions and maintain clear documentation.

Skills & Qualifications

• Expertise in Snowflake for data warehousing and ELT processes.
• Strong proficiency in SQL for relational databases and writing complex queries.
• Experience with Informatica PowerCenter for data integration and ETL development.
• Experience using Power BI for data visualization and reporting.
• Experience with Fivetran for automated ELT pipelines.
• Familiarity with Sigma Computing, Tableau, Oracle, and DBT.
• Strong data analysis, requirement gathering, and mapping skills.
• Familiarity with cloud services such as Azure (RDBMS, Data Bricks, ADF), AWS, or GCP.
• Experience with workflow management tools such as Airflow, Azkaban, or Luigi.
• Proficiency in Python for data processing (other languages like Java, Scala are a plus).

Education

Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field.