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Immediate opening For GCP Data Engineering Data Architect For Hyd & Pu

Exclusive opportunity

Onsite

Immediate opening For GCP Data Engineering Data Architect For Hyd & Pu

Yochana It Solutions

Immediate opening For GCP Data Engineering Data Architect For Hyd & Pu

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonData AnalysisOraclePySparkApache AirflowHadoop

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

27 August 2026

What they need


We have an Immediate opening with an MNC for Hyderabad Location.

The client is looking for below JD:

GCP Data Engineering Data Architect (Exp: 12 Yrs to 16 Yrs)

Notice: Only Immediate Joiners

Work Location: Hyderabad OR Pune (WFO 5 Days)

GCP-DE-Architect

Roles & Responsibilities:

Experience should have 12 Years to 16 Years of Data Engineering.

  • Architect, design, and implement enterprise-scale data platforms and pipelines on Google Cloud Platform (GCP).

  • Lead complex data migration programs from on-premises / legacy systems (Teradata, Oracle, Hadoop, SQL Server, etc.) to GCP, covering assessment, strategy, execution, and validation.

  • Design solutions leveraging GCP services such as BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, Cloud Storage, Cloud SQL, Spanner, Data Fusion, and Dataplex.

  • Develop and optimize data processing frameworks using Python and PySpark for batch and streaming workloads.

  • Write, review, and tune complex SQL for data transformation, modeling, and analytics on BigQuery and other databases.

  • Build, schedule, and manage workflow orchestration using Apache Airflow / Cloud Composer, including DAG design, dependency management, and monitoring.

  • Define data architecture standards, data modeling approaches (dimensional, data vault, lakehouse), and best practices for security, governance, and cost optimization.

  • Collaborate with business stakeholders, data engineers, analysts, and DevOps teams to translate requirements into scalable technical solutions.

  • Establish CI/CD, testing, and observability practices for data pipelines.

Interested resources can share their updated CV to below address.

[email protected]

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