Senior Data Engineer – Cloud Platforms

7 days ago

Lahore, Punjab, Pakistan Tkxel Full time 1,200,000 - 2,400,000 per year

Data Engineer – Cloud Platforms (Azure | GCP | AWS)

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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