Data Engineer

Saint Gobain

Mumbai, Pune District

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

Saint Gobain is seeking a Data Engineer to join its data analytics team in Mumbai. The role focuses on designing data integration solutions using Snowflake and Azure Data Factory, as well as ingesting and transforming data for cloud data warehouses.

Ideal candidates have 3+ years of hands-on SQL and data engineering experience, plus knowledge of Snowflake, Python scripting, and data warehousing concepts. This position is based in Mumbai/Navi Mumbai with related responsibilities and growth

Qualifications

  • 3+ years hands-on experience in SQL, data engineering, and Snowflake.
  • Practical knowledge of Azure Data Factory and Python scripting.
  • Strong data warehousing concepts, ETL/ELT pipelines, and performance tuning.

Responsibilities

  • Design and implement data integration solutions using Snowflake and Azure Data Factory (ADF).
  • Ingest and transform data from multiple sources into cloud-based data warehouses.
  • Write and optimize complex SQL queries to handle large datasets efficiently.
  • Monitor and troubleshoot Snowflake performance issues and implement enhancements.

Skills

SQL
Data engineering
Snowflake
DBT
Python scripting

Education

Bachelor’s degree in Computer Science / Information Systems

Tools

Azure Data Factory

Job description

Greetings for the Day!!

We are hiring for Data Engineers to join our Data analytics Team

Exp: 3+ Years

Core Skillsets : Strong in Snowflake , SQL & DBT

Location: Mumbai/ Navi Mumbai

Role :

Key Responsibilities
  • Design and implement data integration solutions using Snowflake and Azure Data Factory (ADF).
  • Ingest and transform data from multiple sources into cloud-based data warehouses.
  • Write and optimize complex SQL queries to handle large datasets efficiently.
  • Monitor and troubleshoot Snowflake performance issues and implement enhancements.
  • Collaborate with cross-functional teams to ensure data quality, security, and compliance.
Key Requirements
  • 34 years of hands-on experience in SQL, data engineering, and working with Snowflake.
  • Practical knowledge of Azure Data Factory (ADF) and Python scripting.
  • Strong understanding of data warehousing concepts, ETL/ELT pipelines, and performance tuning.
  • Bachelor’s degree in computer science, Information Systems, or a related field.
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