Senior Cloud Data Engineer: GCP & Azure Expert

Tkxel; Pakistan; On-site; PKR 1,800,000 - 3,200,000; Full time

Job summary

Tkxel is seeking an experienced Data Engineer – Cloud Platforms (Azure | GCP) with 5+ years of hands-on work across Google Cloud, Azure, and AWS to design scalable data pipelines and analytics-ready data products. The role emphasizes BigQuery, Dataflow, Pub/Sub, and Fabric integrations, along with BI tooling and data modeling.

You will architect end-to-end data solutions, collaborate with cross-functional teams, and enable analytics through Fabric, Looker Studio, and Power BI in a fast-paced,

Qualifications

• 5+ years of experience designing cloud-based data solutions.
• Proficiency with multi-cloud data architectures (GCP, Azure, AWS).
• Strong SQL and Python for data transformation and orchestration.
• Experience with ETL/ELT pipelines and data lakehouse designs.
• Fabric-based workflows experience is a plus.

Responsibilities

• Design and implement end-to-end data ingestion and transformation pipelines.
• Build data models and warehouses across multi-cloud platforms.
• Develop dashboards and semantic layers using Power BI / Looker Studio.
• Collaborate with stakeholders to translate requirements into data solutions.

Skills

ETL/ELT pipelines

Data modeling

Data warehousing

Multi-cloud

Analytical thinking

Stakeholder management

Python

SQL

Communication

Tools

BigQuery

Dataflow

Pub/Sub

Composer

Azure Data Factory

Azure Databricks

Azure Synapse

ADLS

Azure SQL

PostgreSQL

Power BI

Looker Studio

Fabric

Databricks Workflows

Git CI/CD

Airflow

S3

Lambda

Redshift

Job description

Tkxel is seeking an experienced Data Engineer – Cloud Platforms (Azure | GCP) with 5+ years of hands-on work across Google Cloud, Azure, and AWS to design scalable data pipelines and analytics-ready data products. The role emphasizes BigQuery, Dataflow, Pub/Sub, and Fabric integrations, along with BI tooling and data modeling.

You will architect end-to-end data solutions, collaborate with cross-functional teams, and enable analytics through Fabric, Looker Studio, and Power BI in a fast-paced,