Data Engineer

Dreampath Services; Mumbai; Remote; INR 900,000 - 1,500,000; Full time

Job summary

Dreampath Services in Mumbai (Remote) is seeking a Data Engineer with 4–8 years of experience to design and maintain data pipelines and analytics solutions. You will work on Snowflake, SQL, Python, dbt, and Tableau to deliver scalable ETL/ELT processes and dashboards.

Ideal candidates will have hands-on data modeling, warehousing, performance tuning, and experience with Git for version control. The role supports remote work with a 2 PM – 10 PM shift alignment.

Qualifications

• Experience with designing and implementing ETL/ELT pipelines.
• Hands-on data modeling and data warehousing concepts.
• Proficient in writing optimized SQL queries for data processing.
• Experience with Tableau dashboards and data visualization.
• Version control with Git is a plus.

Responsibilities

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

Skills

Snowflake

SQL

Python

dbt

Tableau

ETL/ELT

Data modeling

Data warehousing

Performance tuning

Git

Tools

Snowflake

SQL

Python

dbt

Tableau

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.