Data Engineer (Snowflake | SQL | Python | dbt)

Dreampath Services; Maharashtra; Remote; INR 1,200,000 - 1,800,000; Full time

Job summary

Dreampath Services is seeking an experienced Data Engineer to design, develop, and maintain scalable ETL/ELT data pipelines using Snowflake, SQL, Python, and dbt. You will build data models, optimize queries, and develop Tableau dashboards for business analytics.

The role requires 4–8 years of relevant experience, remote work, and collaboration with cross‑functional teams to deliver reliable analytics solutions.

Qualifications

• 4–8 years of Data Engineering / Data Analytics experience.
• Hands-on with Snowflake, SQL, Python, and dbt.
• Experience in ETL/ELT pipelines, data warehousing, and data modeling.
• Tableau dashboard development and data visualization experience.
• Git version control knowledge.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Work with Snowflake for data storage, transformation, and processing.
• Develop and optimize complex SQL queries for data processing.
• Use Python for data processing, automation, and pipeline development.
• Build and maintain dbt transformation workflows.

Skills

Snowflake

SQL

Python

dbt

Tableau

Tools

Git

dbt

Job description

Experience: 4–8 Years

Work Mode: Remote

Working Hours: 2:00 PM – 10:00 PM

Job Summary

We are looking for an experienced Data Engineer with strong expertise in Snowflake, SQL, Python, and dbt to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate should have hands‑on experience in ETL/ELT development, data warehousing, data modeling, and Tableau dashboard development.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Work with Snowflake for data storage, transformation, and processing.
• Develop and optimize complex SQL queries for efficient data processing.
• Use Python for data processing, automation, and pipeline development.
• Build and maintain data transformation workflows using dbt.
• Perform data modeling, data warehousing, and performance optimization.
• Develop and maintain Tableau dashboards and reports for business analytics.
• Use Git for version control and collaborative development.
• Ensure data quality, accuracy, and consistency across data pipelines.
• Collaborate with business and technical teams to deliver analytics solutions.

Required Skills

• Strong hands‑on experience with Snowflake, SQL, Python, and dbt.
• Experience designing and implementing ETL/ELT pipelines.
• Proficiency in data modeling and data warehousing concepts.
• Experience in query optimization and performance tuning.
• Hands‑on experience in Tableau dashboard development and data visualization.
• Knowledge of Git and version control tools.
• Strong analytical, problem‑solving, and communication skills.

Candidate Profile

• 4–8 years of relevant experience in Data Engineering / Data Analytics.
• Strong practical knowledge of modern data engineering tools and technologies.
• Ability to work independently and collaborate with cross‑functional teams.
• Comfortable working in the 2 PM – 10 PM shift.