Senior Data Engineer – Cloud Platforms (Azure | GCP)

Tkxel LLC; Lahore; On-site; PKR 33,213,000 - 49,820,000; Full time

Job summary

Tkxel is seeking an experienced Data Engineer with 5+ years of experience in designing modern, cloud-based data solutions, with a primary focus on GCP and Azure, and exposure to AWS.

You will build scalable data platforms, orchestrate data pipelines, and enable analytics through Fabric, BigQuery, Power BI, and Looker Studio, while collaborating across teams in a fast-paced, multi-cloud environment.

Qualifications

• 5+ years of experience designing and implementing modern, cloud-based data solutions.
• Strong focus on Google Cloud Platform (GCP) and Microsoft Azure, with exposure to AWS.
• Ability to build scalable data platforms, orchestrate data pipelines, and enable analytics using Fabric, BigQuery, and related technologies.
• Proficiency with SQL and Python for data transformation and validation.
• Experience with multi-cloud data warehouses and data lakehouse architectures.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines across multi-cloud environments (GCP, Azure, AWS).
• Develop data models and data warehouses to enable analytics.
• Implement data lakehouse architectures and Fabric-based workflows.
• Deliver reporting and BI via Power BI and Looker Studio; integrate reporting across Fabric, BigQuery, and Synapse.

Skills

SQL

Python

ETL/ELT pipelines

Data modeling

Data warehouses

GCP

Azure

AWS

Power BI

Looker Studio

Tools

BigQuery

Dataflow

Pub/Sub

Composer (Airflow)

Cloud Storage

Cloud Functions

Fabric

Data Pipelines Gen2

Azure Synapse

S3

Redshift

Databricks Workflows

ADF

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 .