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    DataBase Administrator - Hawally, الكويت - Business Umbrella

    Business Umbrella
    Business Umbrella Hawally, الكويت

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    وصف

    We are seeking a highly experienced Senior /Junior Database Administrator with expertise in managing and optimising Data

    Warehouse and Data Lake environments. The ideal candidate will possess comprehensive knowledge of database

    architecture data modelling ETL processes and performance tuning. The role requires a strategic thinker who can

    design and implement scalable solutions to support the organizations data needs effectively.

    Responsibilities :

    Database Management

    Oversee the administration of Data Warehouse and Data Lake platforms ensuring optimal performance

    reliability and security.

    Design implement and maintain database schemas tables indexes and views for efficient data storage and

    retrieval.

    Monitor database systems to identify and resolve performance bottlenecks capacity constraints and other

    issues proactively.

    Conduct regular backups disaster recovery planning and implement security measures to safeguard sensitive

    data.

    2. Data Integration and ETL:

    Collaborate with crossfunctional teams to understand data requirements and develop robust ETL processes for

    data ingestion transformation and loading.

    Implement and optimize data integration workflows to ensure seamless transfer of data between disparate

    systems and platforms.

    Automate ETL processes where applicable to improve efficiency and reduce manual intervention.

    3. Data Mode ling and Optimization:

    Design and optimize data models to support analytical reporting adhoc queries and data visualisation

    requirements.

    Work closely with data architects and analysts to ensure data structures align with business objectives and

    reporting needs.

    Utilize indexing strategies partitioning techniques and other performance tuning methods to enhance query

    performance and overall system efficiency.

    4. Capacity Planning and Scaling:

    Perform capacity planning assessments to forecast resource requirements and scalability needs for future

    growth.

    Implement scaling strategies to accommodate increasing data volumes and user concurrency while maintaining

    system performance.

    Evaluate and recommend hardware software and cloud solutions to support the organizations evolving data

    infrastructure requirements.

    5. Documentation and Training:

    Document database configurations procedures and best practices to facilitate knowledge sharing and ensure

    operational continuity.



    Requirements

    Education

    Bachelors degree in Computer Science Information Technology or related field. Masters degree preferred.

    Experience

    Proven experience (5 years) as a Senior Database Administrator with a focus on Data Warehouse and Data Lake

    environments

    Technical Skills

    Indepth knowledge of database management systems such as Oracle SQL Server MySQL or PostgreSQL.

    Handson experience with big data technologies like Hadoop Spark and related ecosystems (e.g. Hive HBase

    Kafka).

    Proficiency in SQL programming and scripting languages (e.g. Python Shell) for automation and data

    manipulation tasks.

    Strong analytical and problemsolving skills with a keen attention to detail.

    Excellent communication and interpersonal skills with the ability to collaborate effectively across teams and

    departments.

    Industry certifications such as Oracle Certified Professional (OCP) Microsoft Certified Solutions Expert (MCSE) or

    Cloudera Certified Professional (CCP) are a plus.



    Education - Bachelor\'s degree in Computer Science, Information Technology, or related field. Master\'s degree preferred. Experience Proven experience (5+ years) as a Senior Database Administrator, with a focus on Data Warehouse and Data Lake environments Technical Skills In-depth knowledge of database management systems such as Oracle, SQL Server, MySQL, or PostgreSQL. - Hands-on experience with big data technologies like Hadoop, Spark, and related ecosystems (e.g., Hive, HBase, Kafka). - Proficiency in SQL programming and scripting languages (e.g., Python, Shell) for automation and data manipulation tasks. - Strong analytical and problem-solving skills with a keen attention to detail. - Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and departments. - Industry certifications such as Oracle Certified Professional (OCP), Microsoft Certified Solutions Expert (MCSE), or Cloudera Certified Professional (CCP) are a plus.

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