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    Senior Data Engineer

    Hybrid
    Bangkok, Thailand
    Posted: July 27, 2024
    Position Details

    In this role, you will get to:

    • Collaborate with cross-functional teams to understand business requirements and design data solutions to meet those needs
    • Design and build scalable data pipelines to ingest, process, and store large volumes of data
    • Manipulate complex data from a variety of sources (e.g. API, SFTP, Databases, SAP, Google Analytics, etc.)
    • Ensure data quality, accuracy, and completeness through data validation and error handling processes
    • Maintain and monitor existing ETL pipelines and advising on necessary infrastructure changes
    • Design and implement security and access control measures to protect sensitive data or comply with regulation such as PDPA
    • Share your expertise across the team and mentor the junior/mid-level via code reviews, 1:1, workshops or knowledge sharing sessions, to enhance their technical skills and understanding of best practices
    • Participate in recruitment in order to evaluate and interview candidates, as well as improving our recruitment processes
    • Gather customer requirements during pre-sales interactions, determining project scope, creating technical diagrams, and making estimations for man-days and cloud costs
    • Develop and maintain technical documentation


    You'll be successful if you have:

    • 5+ years of experience in Data engineering in designing, building, maintaining data infrastructure in cloud environments such as AWS, GCP or Azure
    • Strong programming skills in languages such as Python, Java, or Scala (Python preferred)
    • Strong Experience with cloud based data lake solutions, such as S3, GCS or Data Lake Storage, and how to design and implement data lake architectures
    • Strong Experience with data warehousing tools, such as Redshift, Synapse or BigQuery, and how to optimize data warehousing performance for large-scale data sets
    • In-depth knowledge and hands-on experience with big data technologies such as Hadoop, Spark, and Hive (Spark preferred)
    • Expertise in designing and implementing efficient ETL pipelines composed of a variety of data sources, and the ability to ensure data quality with a strong understanding of data integration and transformation techniques
    • Experience working with orchestration tools such as Airflow, AWS Step functions or Azure Data Factory
    • Ability to write efficient SQL queries for data extraction and transformation, demonstrating proficiency in optimizing query performance, understanding distributed query execution models, and utilizing advanced SQL concepts. (Spark preferred)
    • Knowledge of CI/CD and Infrastructure as Code concepts, including experience with tools such as Terraform, AWS CDK, Github pipelines and Gitlab CI
    • Excellent problem-solving skills and the ability to work well in a fast-paced, collaborative environment
    • Ability to scope projects, define architectures, and choose technologies based on project requirements
    • Leadership skills and ability to mentor junior and mid-level Data engineers


    It's a plus if you have:

    • Holding certifications related to data engineering of cloud providers such GCP Data engineering, etc
    • Working on multiple projects simultaneously
    • Data streaming technologies and data integration with streaming data sources
    • Docker and experience deploying and managing containerized data solutions
    • Implementing PDPA process
    • Optimizing cloud costs through various strategies
    • DevOps and continuous integration/continuous delivery (CI/CD) practices
    • Gathering customer requirements and estimating project scope during pre-sales interactions
    • Agile methodologies (e.g. Scrum, Kanban)



    Skills
    Data Warehouse
    Data Engineering
    Data Validation
    Amazon Redshift

    Functions
    Engineering

    Job Overview

    Job Type:

    Hybrid


    Company

    Sertis logo

    Sertis

    20 active jobs

    Industry:

    Technology

    Ready to Apply?

    Submit your application now and take the next step in your career journey.

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