Senior Data Engineer
Lloyds Banking Group Hyderabad, Telangana, India
Financial Services · 10,001+ employees
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About the role
Design, build, and optimize scalable data pipelines and data products using Google Cloud Platform. Ensure high standards in data architecture, quality, and the implementation of data contracts.
What they look for
Requirements
Requires 7 to 14 years of experience in Cloud Data Engineering with hands-on GCP delivery. Proficiency in Python, SQL, and specific GCP tools like BigQuery, Dataflow, and Composer is essential.
Benefits
Full description
End Date
Monday 05 October 2026
We Support Flexible Working – Click here for more information on flexible working options
Flexible Working Options
Hybrid Working
Job Description Summary
We are looking for a Cloud Data Engineer with strong experience in Google Cloud Platform (GCP) to design, build, and optimise scalable data pipelines and data products. The ideal candidate should have hands-on expertise in BigQuery, Dataflow, Composer, Cloud SQL, Kubernetes, and DBT, along with strong coding skills in Python and SQL.
Job Description
Cloud Data Engineer – GCP
Location - Hyderabad Years of experience - 7 to 14 years
We are looking for a Cloud Data Engineer with strong experience in Google Cloud Platform (GCP) to design, build, and optimise scalable data pipelines and data products. The ideal candidate should have hands-on expertise in BigQuery, Dataflow, Composer, Cloud SQL, Kubernetes, and DBT, along with strong coding skills in Python and SQL.
Key Skills:
- GCP Data Engineering (BigQuery, Dataflow, Composer, Cloud SQL)
- DBT (Data Build Tool)
- Data Architecture, Data Quality & Data Contracts
- Python and SQL development
- Experience building scalable cloud-based data solutions
- Knowledge of Kubernetes is preferred
Experience: Relevant experience in Cloud Data Engineering with hands-on GCP delivery.
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