Engineer Jobs In Abu Dhabi UAE - Injazat

    Injazat
    Injazat Abu Dhabi, United Arab Emirates

    2 weeks ago

    Default job background
    Description

    Engineer Jobs In Abu Dhabi UAE | InjazatFor More Top Organization Jobs Click HereTo develop and maintain our data infrastructure and systems.

    Design, build, and optimize data pipelines, databases, and data warehouses to facilitate efficient data processing, storage, and retrieval.

    Collaboration with cross-functional teams, including data scientists, analysts, and software engineers, will be essential to ensure the availability, reliability, and scalability of client's data infrastructure, supporting data-driven decision-making processes.


    Responsibilities:


    Data Pipelines Design, implement, and maintain scalable and robust data pipelines that efficiently extract, transform, and load (ETL) data from diverse sources into our target systems.

    This involves tasks such as data ingestion, data cleansing, data transformation, and data integration.

    Management of Data Warehouses and Databases Develop and oversee data warehousing solutions and databases to ensure optimal performance, data integrity, and data security.

    Implement appropriate strategies for data partitioning, indexing, and caching to enhance query efficiency and analytics capabilities.

    Data Modelling Devise and execute data models that align with our business requirements, guaranteeing the accuracy, consistency, and usability of our data.

    Collaborate closely with stakeholders to grasp their data needs and translate them into effective data structures.
    Performance Optimization Identify and address performance bottlenecks within data pipelines, databases, and queries. Apply caching mechanisms, indexing strategies, and query optimization techniques to enhance data processing and retrieval speeds.


    Requirements:
    Proficiency in programming languages such as Python, SQL, and/or Java.
    Strong familiarity with big data technologies like Hadoop, Spark, or Kafka.

    Experience in data modeling and database design principles, encompassing both relational databases (e.g., MS-Sql, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).Knowledge of data warehousing concepts and experience with relevant solutions (e.g., Redshift, Snowflake).Competence in cloud platforms like AWS, Azure, or GCP, including their data services (e.g., S3, BigQuery).Exposure to data integration techniques (e.g., RESTful APIs, message queues).

    #J-18808-Ljbffr