Azure Data Engineer

4 hours ago

Doha, Baladīyat ad Dawḩah, Qatar Connect Vision International Full time 60,000 - 120,000 per year

Job Title:
Azure Data Engineer

Location:
Doha, Qatar (Onsite)

Employment Type:
Permanent – Full-time or Contract (Open to both)

Compensation:
Competitive salary / rate (open and negotiable based on experience)

Job Description

We are seeking an experienced
Azure Data Engineer
to join our team in
Doha, Qatar
. The ideal candidate will have deep technical expertise in
Azure data services
, including
Databricks
,
Data Factory (ADF)
,
Data Lake Storage (ADLS)
, and
Event Hub
. This role involves building, optimizing, and maintaining scalable data pipelines and architectures to support analytics, business intelligence, and enterprise data management initiatives.

Key Responsibilities

  • Design, develop, and maintain
    data pipelines
    and
    data integration workflows
    using
    Azure Data Factory
    and
    Azure Databricks
    .
  • Manage and optimize data storage solutions within
    Azure Data Lake Storage (ADLS)
    and
    Delta Lake
    .
  • Develop and maintain
    ETL/ELT processes
    for ingesting and transforming large-scale data.
  • Implement
    data models, data warehousing solutions
    , and
    big data architectures
    .
  • Write clean, efficient, and scalable code using
    PySpark, Scala, or SQL
    .
  • Integrate data from multiple sources, including
    Event Hub
    and third-party systems.
  • Apply
    data governance
    ,
    data quality
    , and
    security best practices
    across the data ecosystem.
  • Collaborate with data scientists, analysts, and business stakeholders to ensure data availability and reliability.
  • Monitor and troubleshoot data pipeline performance and ensure system scalability.

Required Skills & Experience

  • 8+ years
    of experience as a
    Data Engineer
    , with a focus on
    Azure data platforms
    .
  • Strong expertise in
    Azure Databricks
    ,
    Azure Data Factory (ADF)
    ,
    Azure Data Lake Storage (ADLS)
    , and
    Event Hub
    .
  • Proficiency in
    PySpark
    ,
    Scala
    , and
    SQL
    for data transformation and processing.
  • Solid understanding of
    data modeling
    ,
    data warehousing
    , and
    big data technologies
    .
  • Experience working with
    Delta Lake
    and modern data storage formats (e.g., Parquet, ORC).
  • Familiarity with
    data integration tools
    ,
    APIs
    , and
    streaming data solutions
    .
  • Strong
    problem-solving
    ,
    analytical
    , and
    troubleshooting
    skills.
  • Knowledge of
    data governance
    and
    data quality management
    principles.
  • Excellent
    communication
    and
    collaboration
    skills.

Education & Certifications

  • Bachelor's degree
    in Computer Science, Information Technology, or a related field.
  • Microsoft Azure Data Engineering certification
    or equivalent is a plus.

If interested, please apply with an up to date CV

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