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    Data Engineer - Kuala Lumpur, Malaysia - Agensi Pekerjaan EPS Consultants Sdn Bhd

    Agensi Pekerjaan EPS Consultants Sdn Bhd
    Agensi Pekerjaan EPS Consultants Sdn Bhd Kuala Lumpur, Malaysia

    6 days ago

    agensi pekerjaan eps consultants sdn bhd background
    Full time Upper Management / Consulting
    Description

    Client Background:

    BPO wing that offering a spectrum of services, from data analysis, customer service, and risk

    management to administration, IT support, human resources, marketing, and beyond.

    Location: KL

    Tenure: Permanent role

    Salary: Basic Salary

    Responsibilities:

    Data Pipeline Development:

    . Design, develop, and maintain efficient ETL pipelines, ensuring the extraction, transformation, and loading of data from various sources into our data warehouse.

    . Implement data integration solutions for diverse business units, enhancing data accessibility for analytical purposes.

    . Optimize and monitor data pipeline performance to ensure accurate and timely data processing.

    Data Architecture:

    . Design and implement a resilient data architecture aligning with the organization's data strategy and overarching goals.

    . Evaluate and select appropriate technologies for data storage, processing, and retrieval, considering performance, scalability, and cost.

    Data Quality and Governance:

    . Implement data quality checks and validation processes to maintain the accuracy and consistency of data throughout the pipeline.

    . Collaborate on establishing and enforcing data governance policies, including data lineage, metadata management, and access controls.

    Database Management:

    . Administer and maintain data storage solutions, ensuring optimal performance, security, and availability.

    . Monitor and troubleshoot data-related issues, aiming for quick resolution and minimal downtime.

    Collaboration and Documentation:

    . Collaborate with cross-functional teams, including data analysts, software engineers, and business stakeholders, to comprehend data requirements and deliver effective solutions.

    . Document data processes, workflows, and data dictionaries to facilitate knowledge sharing and team member onboarding.

    Continuous Improvement:

    . Stay abreast of emerging data engineering technologies, best practices, and industry trends, integrating them into the existing data infrastructure where applicable.

    . Identify opportunities to optimize and enhance existing data pipelines and processes, fostering efficiency and scalability.

    Requirements:

    . Bachelor's or higher degree in Computer Science, Engineering, or a related field.

    . Proven experience in data engineering roles, with a focus on designing and building ETL pipelines and cloud data architectures.

    . Proficiency in programming languages such as Python, SQL, Java, or Scala.

    . Strong experience with data integration tools, ETL frameworks, and workflow management tools (e.g., Apache Spark, Apache Airflow, Talend, etc.).

    . Solid understanding of relational databases, data modeling, and query optimization.

    . Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and related services (e.g., S3, Redshift, BigQuery) is a plus.

    . Familiarity with version control systems and agile development methodologies.

    . Excellent problem-solving skills and attention to detail.

    . Effective communication skills to collaborate with technical and non-technical stakeholders.

    . Proficient in Mandarin language is mandatory.

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