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

Senior Data Engineer



Job description

Job Title:
Senior Data Engineer - Big Data (Banking Sector)

Company:
Dautom IT Consultants LLC

Client Industry:
Banking

Work Location:
Downtown, Dubai

Contract Duration:
6 months (highly renewable for long-term)

About the Role:

We are seeking a highly experienced and hands-on Senior Data Engineer to lead and contribute to our client's ambitious Big Data initiatives within the dynamic banking sector.

This role demands a deep technical expert who can architect, build, and tune complex data systems while providing leadership to a team of data engineers.

Key Responsibilities:

  • Technical Leadership & Hands-On Development:
    Design, develop, and optimize large-scale data processing systems using the Hadoop ecosystem (HDFS, MapReduce, Hive, Pig, HBase, Flume, Sqoop) and other Big Data technologies.

  • Team Management:
    Lead and mentor a team of data engineers, including both full-time associates and third-party vendors.

    Manage project priorities, ensure timely delivery, and maintain high-quality standards.

  • Data Pipeline Engineering:
    Write, tune, and maintain complex data pipelines using Java, MapReduce, Hive, and Spark.

    Implement and manage stream-processing systems like Spark-Streaming.

  • Data Modeling & Architecture:
    Design and build efficient, scalable dimensional data models to enhance data accessibility, quality, and performance for analytics and business intelligence.

  • Data Integrity & Deployment:
    Analyze source data integrity, and lead the deployment, validation, and auditing of data models and attributes for accuracy.

  • Performance Tuning:
    Demonstrate expertise in writing advanced, optimized SQL and perform thorough performance tuning of queries and data jobs.

  • Collaboration:
    Work closely with business intelligence teams to develop top-quality dashboards and data products based on industry best practices.

Essential Qualifications & Experience:

  • A minimum of
    10+ years of professional experience
    as a Big Data Engineer.

  • In-depth, hands-on knowledge of the
    Hadoop ecosystem (Cloudera preferred)
    ,
    Apache Spark
    , and similar distributed data frameworks.

  • Proven experience leading a backend/distributed data systems team while remaining technically hands-on.

  • Proficiency in
    Java
    for MapReduce development and strong skills in
    Python
    and/or
    Scala
    .

  • Expertise with Big Data querying tools such as
    Hive, Pig, and Impala
    .

  • Strong experience with
    relational SQL
    (e.g., Postgres) and
    NoSQL databases
    (e.g., Cassandra, HBase).

  • Solid understanding of data modeling principles (dimensional modeling) and data warehousing concepts.

  • Experience with Linux/Unix systems and shell scripting.

Desirable Skills (A Plus):

  • Experience with
    Azure cloud services
    (Azure Data Lake, Databricks, HDInsight).

  • Knowledge of stream-processing frameworks:
    Spark-Streaming
    or Storm.

  • Exposure to data science and machine learning tools and technologies.

  • Background in the
    Financial Services or Banking industry
    .

Personal Attributes:

  • Excellent problem-solving abilities for complex networking, data, and software challenges.

  • Strong interpersonal and communication skills to effectively collaborate with stakeholders and team members.

  • Proven ability to plan, organize, and prioritize work effectively in a fast-paced environment.

  • A cooperative team player who assists others and builds positive working relationships.


Required Skill Profession

Other General



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