Data Engineer

รายละเอียดงาน

Responsibilities:

• Design,develop,and implement robust data pipelines and ETL processes to ingest, transform, and load data from various sources into our data lake and data warehouses
• Build and maintain scalable data infrastructure using cloud technologies and on-premise data frameworks, ensuring high performance, reliability, and cost-effectiveness
• Collaborate with cross-functional teams to gather requirements and translate them into data models and pipeline architectures
• Implement data governance policies and processes to maintain data security, privacy, and regulatory compliance
• Develop monitoring, testing, and validation mechanisms to ensure data quality and integrity
• Optimize and tune data systems for performance, scalability, and efficiency
• Stay up-to-date with emerging data engineering tools, technologies, and industry best practices, and contribute to the evaluation and adoption of new solutions.
• Participate in the overall data strategy and roadmap planning, aligning data initiatives with business objectives

Qualifications:

• Bachelor's Degree in Computer Science/ Engineering/ Information Technology or related fields
•  Age  22 Years Old Up
•  Experience in data engineering roles, with a strong understanding of data modeling, ETL processes, and data integration patterns. Such as Talend, Informatica, Pentaho
• Proficient in programming languages such as Python, Scala, or Java, and Experience with big data frameworks like Apache Spark, Hadoop, or Kafka
• Familiarity with data warehousing solutions like Snowflake, Redshift, or BigQuery, and cloud platforms like AWS, GCP, or Azure
• Experience with SQL and database technologies (e.g., PostgreSQL, MSSQL, MySQL)
• Knowledge of data engineering best practices, including data quality, data security, and data governance
• Excellent problem-solving and analytical skills, with the ability to design and implement efficient and scalable data solutions
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and translate technical concepts to non-technical stakeholders                                

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