Cloud Data Engineer for Finance and Supply Chain Analytics

2 days ago


Bengaluru, Karnataka, India Infometry Full time

About Infometry

Infometry is a leading Advanced Data Analytics product solutions and global services company headquartered in Silicon Valley, California, and Bangalore, India. We are growing at a rapid pace of 200% every year and we are looking for passionate members for our team.

Salary and Benefits

The estimated salary range for this role is $150,000 - $250,000 per annum, depending on experience. In addition to a competitive salary, we offer a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.

Job Description

We are seeking an experienced Cloud Data Engineer to join our team in Bangalore (Remote). As a Senior Data Engineer, you will be responsible for designing and developing the ETL framework using Big Query, automating data load from Big Query using APIs or scripting language, and identifying complex fuzzy problems, break them down in smaller parts, and implement creative, data-driven solutions.

Key Responsibilities:

  • Design and develop the ETL framework using Big Query
  • Automate data load from Big Query using APIs or scripting language
  • Identify complex fuzzy problems, break them down in smaller parts, and implement creative, data-driven solutions
  • Responsible for defining, analyzing, and communicating key metrics and business trends to the management teams
  • Assist in developing/coaching individuals technically as well as on soft skills during the project and as part of Client Project's training program

Requirements

To be successful in this role, you will need:

  • Minimum of 3+ years' Experience in Google Big Query and Google Cloud Platform
  • Strong knowledge in Python Big Query is MUST
  • Strong skills in SPARK and HIVE
  • Strong Understanding of Hadoop Architecture, HDFS & ecosystem
  • Must be Strong in SQL

About You

We are looking for a highly motivated and experienced Cloud Data Engineer who can join our team immediately. If you have a passion for data quality and are constantly looking to improve the system, we want to hear from you.



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