Snowflake Data Engineer – Advanced Analytics

Lonvec Technologies Private Limited

Hyderabad, Bengaluru, Pune District

On-site

INR 1,800,000 - 2,400,000

Full time

14 days+

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Job summary

Lonvec Technologies Private Limited in Hyderabad is seeking a Snowflake Data Engineer – Advanced Analytics to design and develop scalable data solutions for enterprise analytics platforms. The role requires strong expertise in Snowflake development, SQL, Python, and data pipelines.

Join a team delivering high-performance data solutions, integrating data from multiple sources, and optimizing data processing for reliability and analytics workloads.

Qualifications

  • Design and build scalable Snowflake-based data solutions for analytics platforms.
  • Strong expertise in Snowflake development, SQL, Python, and data pipelines.
  • Collaborate with analytics and engineering teams to deliver business solutions.

Responsibilities

  • Develop and optimize Snowflake-based data engineering solutions
  • Build scalable ETL/ELT pipelines for analytics workloads
  • Perform advanced SQL development and data transformations
  • Integrate data from multiple sources into Snowflake environments
  • Optimize data processing performance and reliability
  • Collaborate with analytics and engineering teams to deliver business solutions

Skills

Snowflake development
SQL
Python
ETL/ELT pipelines
Advanced Analytics
Data Warehousing

Tools

Snowflake

Job description

Snowflake Advanced Data Engineering & Analytics Platform Full-time Hybrid

Snowflake Data Engineer – Advanced Analytics

We are hiring an experienced Snowflake Data Engineer – Advanced Analytics to design and develop scalable data solutions for enterprise analytics platforms. The ideal candidate should have strong expertise in Snowflake development, SQL, Python, data pipelines, and building high-performance data solutions.

  • Develop and optimize Snowflake-based data engineering solutions
  • Build scalable ETL/ELT pipelines for analytics workloads
  • Perform advanced SQL development and data transformations
  • Integrate data from multiple sources into Snowflake environments
  • Optimize data processing performance and reliability
  • Collaborate with analytics and engineering teams to deliver business solutions
Requirements
  • Advanced Analytics
  • Data Warehousing
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