Data Engineer

Job Description

• Data Architecture Design:
– Collabo rate with stakeholders to understand data requirements and design scalable data architectures.
– Develop and maintain data models, schemas, and structures that align with business objectives.

• Data Pipeline Development:
– Design, build, and optimize data pipelines for the extraction, transformation, and loading (ETL) of data from diverse sources into centralized repositories.
– Implement data integration processes to ensure data consistency and accuracy.

• Database Management:
– Administer and optimize databases to ensure high performance, security, and reliability.
– Implement data partitioning, indexing, and other optimization techniques.

• Data Quality Assurance:
– Develop and implement data quality checks and validation processes to ensure the integrity of the data.
– Troubleshoot and resolve data quality issues in collaboration with relevant teams.

• Big Data Technologies:
– Work with big data technologies such as Hadoop, Spark, and related ecosystems for large-scale data processing and analytics.

• Collaboration and Communication:
– Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver effective solutions.
– Communicate complex technical concepts to non-technical stakeholders.

• Automation and Scalability:
– Implement automation scripts and tools to streamline data workflows and enhance system scalability.
– Stay current with industry trends and technologies to continuously improve data engineering processes.

• Security and Compliance:
– Implement and adhere to data security and compliance standards, ensuring the protection of sensitive information.

• Project Management:
– Follow up and study project issues and block point.
– Support and coordinate related stakeholders to ensure project deliverables are meet the deadline.

Job Requirements:

• Bachelor’s Degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• Proven experience as a Data Engineer or similar role, with a strong portfolio of data morphing and algorithm.
• Strong understanding of back-end development using server-side languages (e.g., Java, PHP, Node.js, Python, Ruby) and frameworks (e.g., Spring boot, Laravel, Express, Django, Ruby on Rails).
• Experience with database management systems (e.g., MySQL, MongoDB, PostgreSQL) and ability to write efficient SQL queries and SQL programming.
• Experience with big data process framing such as apache Hadoop, apache Spark.
• Experience with data warehouse concept and platform such as amazon redshift, google bigQuery or SnowFlake.
• Experience with ETL concept and tool such as apache NIFI, apache AirFlow or Talend..
• Familiarity with version control systems (e.g., Git) and collaborative development workflows.
• Familiarity with cloud platforms (e.g., AWS, Azure) and deploying applications in a cloud environment.
• Excellent problem-solving skills and ability to troubleshoot and debug complex applications.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

How to apply!
Submit your CVs to our Talent Acquisition Team (TAT),
via email to: hr@mjqeducation.edu.kh
Telegram: https://t.me/HRMJQE
Tel: (855) 12 797 939, (855) 93 335 564

*Note: CV without photo will not be selected for shortlisting.