Senior Data Engineer – Cloud Platforms (Azure | GCP)

Tkxel • Python • SQL • Power BI • ETL/ELT • Azure Data Factory • AWS Glue • Looker • 9 days ago
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Salary
≈ $31k – $79k per year (Estimated)
Location
In office (Lahore)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 3, 2026.

Overview
Company
Impact
Profile match

Tkxel

Tkxel provides software development and digital engineering services. Its teams build web, mobile and cloud products for global clients. The company operates offices in Pakistan, the United States and Europe.
tkxel.com • HQ: Lahore, Pakistan • IT Outsourcing & Dedicated Teams • Mobile App Development Services • Web Development Services • Custom Software Development • Est. 2008

Data Engineer - Cloud Platforms (Azure | GCP)

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

Cloud Platform Expertise

  • 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.

  • Azure Expertise: Proficiency in Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Database.

  • 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.

Data Engineering Excellence

  • 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.

Analytics & Visualization

  • 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.

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