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Senior GCP Data Lead
Senior GCP Data Lead
Arahas Technologies's logo

Senior GCP Data Lead

Nidhi Shivane's profile picture
Posted by Nidhi Shivane
3 - 8 yrs
₹10L - ₹20L / yr
Pune
Skills
PySpark
Data engineering
Big Data
Hadoop
Spark
Google Cloud Platform (GCP)
Bigquery
SQL


Role Description

This is a full-time hybrid role as a GCP Data Engineer,. As a GCP Data Engineer, you will be responsible for managing large sets of structured and unstructured data and developing processes to convert data into insights, information, and knowledge.

Skill Name: GCP Data Engineer

Experience: 7-10 years

Notice Period: 0-15 days

Location :-Pune

If you have a passion for data engineering and possess the following , we would love to hear from you:


šŸ”¹ 7 to 10 years of experience working on Software Development Life Cycle (SDLC)

šŸ”¹ At least 4+ years of experience in Google Cloud platform, with a focus on Big Query

šŸ”¹ Proficiency in Java and Python, along with experience in Google Cloud SDK & API Scripting

šŸ”¹ Experience in the Finance/Revenue domain would be considered an added advantage

šŸ”¹ Familiarity with GCP Migration activities and the DBT Tool would also be beneficial


You will play a crucial role in developing and maintaining our data infrastructure on the Google Cloud platform.

Your expertise in SDLC, Big Query, Java, Python, and Google Cloud SDK & API Scripting will be instrumental in ensuring the smooth operation of our data systems..


Join our dynamic team and contribute to our mission of harnessing the power of data to make informed business decisions.

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About Arahas Technologies

Founded :
2022
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

About

Leading Geospatial IT and AI Company With over two decades of proven expertise, Arahas has a credible client base covering Smart Cities, Utilities, Agriculture, Renewable Energy, Defense and Environment & Social Governance (ESG). It has a pool of competent technical resources with combination of different core skill sets. The team offers integrated sustainable solutions using Geo-spatial & IT platforms covering the continuum of geospatial data collection to outcome-oriented AI/Analytics and Insights.
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