Senior Data Engineer (SQL, AWS, Python)

Top 3 reasons to join us

• Competitive Salary
• Flexible and quality working environment
• Employee Stock option

Job description

We are seeking a Senior Data Engineer to play a pivotal role in building our data platform from the ground up. You will be responsible for designing, developing, and deploying a scalable, secure, and open-source based data platform on the AWS cloud. This is a unique opportunity to shape the future of our data infrastructure and empower data-driven decision making across the organization. 

• Design and implement a robust data platform architecture on AWS, leveraging open-source technologies whenever possible.
• Evaluate and select appropriate open-source tools and services for data ingestion, transformation, storage, and analytics.
• Develop and maintain data pipelines for efficient movement and processing of large datasets. 
• Ensure data quality and consistency throughout the data lifecycle. 
• Implement data security best practices to protect sensitive information. 
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and translate them into technical requirements. 
• Automate data platform tasks and processes for improved efficiency and reliability. 
• Monitor and troubleshoot data platform performance to identify and resolve issues proactively. 
• Stay up-to-date on the latest trends and technologies in the data engineering space. 
• Document data platform design, architecture, and processes for future reference. 

Your skills and experience

• Proven experience 4+ years as a Senior Data Engineer or similar role.
• Strong understanding of data engineering principles and best practices.
• Expertise in designing and building scalable data pipelines.
• Proficient in working with open-source data technologies (e.g., Apache Spark, Apache Airflow, Kafka, etc.). 
• Experience with cloud platforms, preferably AWS. 
• Solid knowledge of SQL and experience with relational databases. 
• Excellent written and verbal communication skills. 
• Ability to work independently and as part of a cross-functional team. 

Bonus Points

• Experience with machine learning and data science workflows.
• Experience with data governance and data security frameworks.
• Experience with DevOps principles and practices.
• Experience building data platforms for similar industries. 

Why you'll love working here

• Working time from Monday to Friday (09:00 am - 18:00 pm).
• Good chance to study and develop career path stably with internal promotion and rotation.
• 100% statutory insurance contribution as per the labor law.
• Bao Viet Healthcare insurance.
• 100% gross salary in probation.
• 12 Annual Leave (AL) per year + extra 1 AL per extra working year.
• Annual bonus: depending on business & individual performance.
• Annual salary review.
• Other rewards: 5-star, employee of the month (EOTM), employee of the year (EOTY), loyalty employee (3-year, 5-year, 8-year, etc.)
• Internal Activities: General Meeting, Company Trip, International Women's Day, Vietnamese Women's Day Mid-Autumn Festival, Family Day, Christmas, Year-end Party, etc.