Senior Snowflake Data Engineer - Build Fast Pipelines

HCL Technologies Limited

San Antonio (TX)

On-site

USD 90,000 - 130,000

Full time

12 days ago
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Job summary

The Senior Developer at HCL Technologies Limited will develop solutions using Snowflake, SQL, and Python to support business applications and data needs. The role focuses on implementing and maintaining efficient, reliable code.

Responsibilities include designing Snowflake data models, writing complex SQL, and developing Python scripts, with collaboration across the team to ensure seamless integration and data accuracy. Ongoing learning of industry best practices is encouraged.

Qualifications

  • Proficiency in Snowflake data warehousing platform (Snowflake)
  • Strong SQL querying skills for data extraction and manipulation
  • Experience in Python for developing scripts and automation
  • Understanding of data modeling concepts and ETL processes
  • Ability to work in a fast-paced environment and manage multiple priorities
  • Good problem-solving and analytical skills
  • Strong communication and interpersonal abilities for collaboration

Responsibilities

  • Design and develop Snowflake data models and pipelines to support business requirements
  • Write complex SQL queries for data extraction, transformation, and loading processes
  • Develop and maintain Python scripts for automation and data processing tasks
  • Collaborate within team to ensure seamless integration of developed solutions
  • Troubleshoot and debug code to maintain system performance and data accuracy
  • Stay updated on industry best practices and trends in snowflake, sql, and python technologies

Skills

Snowflake
SQL
Python
Data modeling
ETL
Multitasking
Communication

Job description

The Senior Developer at HCL Technologies Limited will develop solutions using Snowflake, SQL, and Python to support business applications and data needs. The role focuses on implementing and maintaining efficient, reliable code.

Responsibilities include designing Snowflake data models, writing complex SQL, and developing Python scripts, with collaboration across the team to ensure seamless integration and data accuracy. Ongoing learning of industry best practices is encouraged.

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