Data Engineer(Snow Flake)

Reposted 2 Days Ago
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Karachi, Sindh, PAK
In-Office
Senior level
Software • Database • Analytics
The Role
Design and optimize data architecture using Snowflake, develop applications in C#, Java, Python, and manage data pipelines on AWS.
Summary Generated by Built In
 

Job Title: Data Engineer (Snowflake)
Location: Hybrid - Lahore, Karachi, Islamabad
Experience: 6-8 years (Minimum 4-6 years of Snowflake experience)

Job Category: Data Engineering

Key Responsibilities:
  • Database Design & Development:
    • Utilize Snowflake to design, develop, and optimize data architecture.
    • Work with PostgreSQL and other databases to manage and manipulate data.
    • Lead conversion projects from SQL-based platforms to Snowflake.
  • Programming & Scripting:
    • Develop robust applications and scripts using C#, Java, and Python, or other relevant technologies.
    • Write efficient Snowflake functions and stored procedures using JavaScript.
    • Implement big data solutions using Spark and PySpark (Plus).
  • Cloud Integration:
    • Implement data storage solutions using Amazon S3 (AWS).
    • Integrate and manage data pipelines using AWS Glue (Plus).
    • Utilize AWS Lambda for serverless computing (Plus).
    • Contribute to cloud data strategies involving GCP (Plus).
  • Additional Database Management:
    • Work with Aurora and MSSQL for various data management tasks (Plus).
Required Skills:
  • Languages: C#, Java, Python, or other relevant technologies
  • Database: Snowflake (Design, Develop), PostgreSQL
  • Cloud Tools: Amazon S3 (AWS)
  • Scripting: JavaScript (for Snowflake functions and stored procedures)
Preferred Skills:
  • Big Data Technologies: Spark, PySpark
  • Cloud Tools: AWS Glue, AWS Lambda, GCP
  • Database: Aurora, MSSQL
Conversion: SQL to Snowflake code conversion
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The Company
Andover, MA
324 Employees
Year Founded: 2007

What We Do

NorthBay is an AWS Premier Partner focused on Database & Application migrations, data & analytics, DevOps & DataOps, application modernization and ML/Ai. Our practice areas include big data and analytics, machine learning, artificial intelligence and database migrations.

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