Snowflake Data Engineer

Advance Career Solutions

Dadri, Hyderabad

On-site

INR 1,200,000 - 2,000,000

Full time

5 days ago
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Job summary

Advance Career Solutions seeks a Data Engineer with Snowflake and DBT expertise to design and maintain scalable data warehouses. You will model data, develop ETL/ELT processes, and optimize performance across multiple sources. Strong Python and BI tooling experience is a plus.

The role involves governance, collaboration with analytics teams, and delivering reliable data platforms to support reporting and insights.

Qualifications

  • Experience designing data warehouses with Snowflake and DBT.
  • Strong SQL and data modeling skills.
  • Experience building ETL/ELT processes for data integration.

Responsibilities

  • Design and maintain robust data warehouse solutions using Snowflake.
  • Develop and manage data transformations using DBT.
  • Build and optimize ETL/ELT processes for integrating data from multiple sources.
  • Develop dimensional and reference data models.
  • Use Python for data manipulation, automation, and integration.
  • Collaborate with developers, business teams, and other stakeholders to deliver reliable data solutions.

Skills

Snowflake
DBT
Advanced SQL
Data Warehousing
Data Modeling
ETL/ELT

Tools

Python
Power BI
Tableau
SnapLogic
Informatica
SQL Server
PostgreSQL

Job description

Snowflake + DBT Data Engineer

Experience: 812 Years
Location: Hyderabad / Noida
Employment Type: Permanent

Job Summary

We are looking for an experienced Data Engineer / Database Engineer with strong hands‑on expertise in Snowflake and DBT to design, develop, and maintain scalable data warehouse solutions. The role involves data modeling, ETL, data transformations, performance optimization, and data governance.

Mandatory Skills

  • Snowflake
  • DBT (Data Build Tool)
  • Advanced SQL
  • Data Warehousing
  • Data Modeling
  • ETL/ELT

Good-to-Have Skills

  • Python
  • Power BI / Tableau
  • SnapLogic / Informatica
  • SQL Server / PostgreSQL
  • Data Governance
  • Metadata & Reference Data Management
  • Generative AI

Key Responsibilities

  • Design and maintain robust data warehouse solutions using Snowflake.
  • Develop and manage data transformations using DBT.
  • Build and optimize ETL/ELT processes for integrating data from multiple sources.
  • Develop dimensional and reference data models.
  • Use Python for data manipulation, automation, and integration.
  • Optimize data systems and processes for performance and scalability.
  • Support reporting and analytics solutions using Power BI/Tableau.
  • Implement data governance practices to ensure data quality, security, and compliance.
  • Collaborate with developers, business teams, and other stakeholders to deliver reliable data solutions.
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