Senior Data Engineer – Cloud Platforms (Azure | GCP)

Zohorecruit; Lahore; On-site; PKR 30,446,000 - 44,285,000; Full time

Job summary

Tkxel is a leading software development company located in Reston, Virginia. We are seeking an experienced Data Engineer with 5+ years of expertise in designing and implementing modern, cloud-based data solutions, focusing on GCP, Azure, and AWS.

The ideal candidate will build scalable data platforms, orchestrate data pipelines, and enable analytics with BigQuery, Dataflow, Pub/Sub, and Fabric, plus deliver dynamic dashboards using Power BI and Looker Studio in multi-cloud environments.

Qualifications

• 5+ years of experience as a data engineer designing cloud-based data solutions.
• Strong hands-on with GCP, Azure and AWS in multi-cloud environments.
• Experience building end-to-end data pipelines and data lakehouse architectures.
• Proficient in SQL and Python for data transformations.
• Experience with BI tools like Power BI or Looker Studio.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines and data warehouses across multi-cloud environments.
• Develop robust data models and data lakehouse architectures for unified analytics.
• Create end-to-end analytics with Power BI and Looker Studio dashboards.
• Integrate reporting across Fabric, BigQuery, and Synapse ecosystems.
• Orchestrate data workflows using Airflow/Composer and Databricks Workflows.

Skills

Data Engineer

ETL pipelines

Data models

Data warehouses

Power BI

Looker Studio

SQL

Python

Airflow

Databricks

Git

CI/CD

GCP

Azure

AWS

Multi-cloud

BigQuery

Data lakehouse

Fabric

Synapse

Tools

BigQuery

Dataflow

Pub/Sub

Composer (Airflow)

Cloud Storage

Fabric

Dataflows Gen2

Lakehouses

Notebooks

Power BI

Looker Studio

Synapse

ADF

Databricks

Job description

Tkxel is a leading softwaredevelopment company located in Reston, Virginia. We are committedto develop innovative software solutions for leading enterprisesin the world, helping them grow their businesses using latesttechnology solutions.

Job Description

We are seeking an experienced Data Engineer with over 5 years of expertise in designing and implementing modern, cloud-based data solutions, with a primary focus on Google Cloud Platform (GCP) and Microsoft Azure , and additional exposure to AWS . The ideal candidate is skilled in building scalable data platforms, orchestrating efficient data pipelines, and enabling analytics through Microsoft Fabric , BigQuery , and related technologies.

Technical Canvas

GCP Focus: Hands-on experience with BigQuery , Dataflow , Pub/Sub , Composer (Airflow) , Cloud Storage , and Cloud Functions , building end-to-end ingestion, transformation, and analytics solutions.

Fabric Integration: Familiarity with Microsoft Fabric — integrating Data Pipelines , Dataflows Gen2 , Lakehouses , and Notebooks to streamline ingestion, transformation, and reporting.

AWS Exposure: Working knowledge of AWS Glue , S3 , Lambda , and Redshift for data processing and analytics.

Proven ability to design, build, and maintain ETL/ELT pipelines , data models , and data warehouses across multi-cloud environments (GCP, Azure, AWS).

Experience implementing data lakehouse architectures and Fabric-based workflows to enable unified analytics.

Strong experience with Power BI and Looker Studio to deliver dynamic data models, semantic layers, and interactive dashboards.

Ability to integrate reporting across Fabric , BigQuery , and Synapse ecosystems.

Programming & Automation

Proficient in SQL and Python , developing reusable, scalable scripts for data transformation , validation , and orchestration .

Experience with Airflow (Composer) , ADF , and Databricks Workflows for job orchestration.

Database Systems

Experienced with Azure SQL , PostgreSQL , BigQuery , MySQL , and SQL Server , ensuring data accuracy, security, and performance optimization.

Version Control & DevOps

Proficient in Git , with exposure to CI/CD practices for deploying and maintaining data pipelines and Fabric / GCP artifacts in multi-environment setups.

Core Attributes

Analytical thinker who translates complex business needs into data-driven solutions .

Excellent communication and stakeholder management skills across business and technical teams.

Collaborative, proactive, and detail-oriented professional who thrives in fast-paced, multi-cloud environments .