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Urgent! Senior Data Engineer – Informatica Job Opening In دبي – Now Hiring VaporVM

Senior Data Engineer – Informatica



Job description

We are seeking a skilled
Data Engineer
to design, implement, and support enterprise-grade data integration solutions, ensuring scalability, performance, and reliability.

The role requires strong expertise in
Informatica, PL/SQL, Python, and Linux/Unix environments
, with the ability to collaborate closely with business stakeholders, particularly within
Credit and Market Risk
functions.

Key Responsibilities

  • ETL Development:
    Design, develop, and optimize ETL pipelines for loading data from diverse sources into the enterprise data warehouse.

  • Database Procedures:
    Create, optimize, and maintain
    PL/SQL stored procedures
    to support complex business requirements and improve query performance.

  • Informatica Workflows:
    Build, troubleshoot, and enhance
    Informatica ETL workflows
    , handling large-volume data processing and integrations.

  • Business Support:
    Partner with
    Credit and Market Risk teams
    to design ETL solutions, deliver datasets, and streamline data workflows.

  • Scripting & Automation:
    Utilize
    Python
    and
    Linux/Unix shell scripting
    for automation, file handling, and operational efficiency.

  • Server Administration:
    Conduct routine patching and maintenance of
    Linux and Windows servers
    , ensuring stability and security.

  • Operational Support:
    Provide
    24/7 production support
    for ETL pipelines, monitor system performance, and resolve issues in a timely manner.

  • Documentation:
    Maintain detailed documentation of ETL processes, workflows, and system configurations.

Required Skills & Qualifications

  • Proven experience with
    Informatica PowerCenter
    (or similar ETL tools).

  • Strong proficiency in
    PL/SQL
    development, tuning, and performance optimization.

  • In-depth knowledge of
    data warehousing concepts
    and
    data modeling
    .

  • Hands-on experience managing
    large data volumes
    with optimized performance.

  • Proficiency in
    Python scripting
    for automation and data processing.

  • Solid understanding of
    Linux/Unix environments
    , including shell scripting and administration.

  • Familiarity with
    Windows and Linux server patching/maintenance
    .

  • Ability to provide
    round-the-clock support
    for mission-critical data operations.

  • Strong
    analytical, troubleshooting, and communication skills
    .

  • Experience collaborating with
    Risk Management teams (Credit/Market Risk)
    is an advantage.


Required Skill Profession

Other General



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