Data Engineer-Data Platforms-Google
IBM Consulting is seeking a Data Engineer to join their team in Gurugram, focusing on building and maintaining data solutions on Google Cloud Platform. You will be responsible for designing batch and real-time pipelines, managing data platforms, and optimizing data layers. The role requires deep expertise in the Google Cloud ecosystem and related data engineering tools. You will support hybrid cloud and AI journeys for enterprise clients.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
IBM Consulting is seeking a Data Engineer to join their team in Gurugram, focusing on building and maintaining data solutions on Google Cloud Platform. You will be responsible for designing batch and real-time pipelines, managing data platforms, and optimizing data layers. The role requires deep expertise in the Google Cloud ecosystem and related data engineering tools. You will support hybrid cloud and AI journeys for enterprise clients.
TAL's take
Solid role at a globally established firm providing clear ownership of data platform engineering within the Google Cloud ecosystem.
The JD clearly defines a focused role on GCP data platform engineering with a specific stack and clear set of technical responsibilities.
Salaries at IBM
19.2 LPA average
Based on 1,725 Grapevine salary entries for IBM.
Engineering
0 - 2 years | 6A
8 LPA average
Range: 3 - 24 LPA
Engineering
2 - 4 years | 6A
12 LPA average
Range: 5 - 27 LPA
Engineering
4 - 6 years | 6B
21 LPA average
Range: 4 - 95 LPA
Engineering
6 - 8 years | 7A
19 LPA average
Range: 2 - 35 LPA
Must haves
- Expertise in Google Cloud ecosystem (DataProc, DataFlow, BigQuery, BigTable).
- Experience developing batch and real-time data pipelines.
- Proficiency in data layer design and optimization.
- Experience with Cloud Composer or Apache Airflow for pipeline management.
Tools and skills
Nice to have: apache airflow, dbt, spark/python, spark/scala, cloud composer.
About the company
Global consultancy firm with large scale engineering operations but not classified as a Tier 1 product tech leader.
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