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Experience:

1 year required

Skills:

ETL, Apache, Python, English

Job type:

Full-time

• Assist in developing and maintaining data pipelines and ETL processes under guidance.
• Support workflow scheduling and monitoring using Apache Airflow.
• Work with large datasets using tools such as Apache Spark (training or hands-on exposure).
• Assist in developing backend/data services using Python or C# (.NET/.NET Core).
• Support database operations and basic optimization for MS SQL, PostgreSQL, or MySQL.
• Work with object storage solutions such as MinIO or similar platforms.
• Collaborate with data analysts and engineers to support data requirements.
• Help ensure data quality, integrity, and basic security practices across data pipelines.
• Bachelor s degree in Computer Science, Computer Engineering, Software Engineerign, Information Technology or a related field.
• 1 - 2 years of experience as a Data Engineer or similar role.
• Basic proficiency in Python or C# (.NET/.NET Core).
• Familiarity with SQL and relational databases (MS SQL, PostgreSQL, MySQL).
• Familiarity with ClickHouse or other columnar databases is a plus.
• Exposure to Apache Airflow, Apache Spark, or similar tools is a plus.
• Understanding of basic ETL concepts and data processing workflows.
• Familiarity with object storage (e.g., MinIO) is a plus.
• Basic understanding of data warehousing or data modeling concepts.
• Strong willingness to learn, problem-solving mindset, and attention to detail.
• Good communication skills and ability to work in a team environment.
• Fluent in Thai with good command of English.

Experience:

2 years required

Job type:

Full-time

• Your missions
• Develop and maintain data ingestion pipelines from multiple data sources
• Support the design and execution of ETL/ELT processes
• Assist in building and optimizing data models and datasets
• Work with cloud-based data platforms (AWS, Azure, or GCP)
• Ensure data quality, consistency, and integrity across systems
• Monitor data pipelines and troubleshoot data-related issues
• Collaborate with data engineers, analysts, and business stakeholders
• Contribute to documentation and best practices for data processes
• Your profile
• 0-2 years of experience in Data Engineering, Data Analytics, or related field
• Basic understanding of ETL processes and data pipelines
• Knowledge of SQL and relational databases
• Familiarity with Python or other scripting languages is a plus
• Exposure to cloud platforms (AWS, Azure, or GCP) is an advantage
• Strong analytical and problem-solving skills
• Proactive mindset with willingness to learn and grow
• Good communication skills in English
• What we offer
• Opportunity to work on real-world data projects with international clients
• Exposure to modern data technologies and cloud environments
• Continuous learning through training and mentoring
• A dynamic, collaborative, and multicultural work environment
• At Amaris Consulting, we are committed to fostering an inclusive environment where diversity is valued and respected. We promote equal opportunities and believe that diverse perspectives strengthen our teams and our ability to deliver excellence.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!