Data Engineer(Snow Flake)

NorthBay Solutions

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profile Job Location:

Islamabad - Pakistan

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

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

Required Experience:

Senior IC

Job Title: Data Engineer (Snowflake)Location: Hybrid - Lahore Karachi IslamabadExperience: 6-8 years (Minimum 4-6 years of Snowflake experience)Job Category: Data EngineeringKey Responsibilities:Database Design & Development:Utilize Snowflake to design develop and optimize data a...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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