Handshakes is an award-winning DataTech company with regional presence in Singapore, Malaysia, Vietnam, Philippines, Taiwan \& Australia. We enable our clients to make safer, more informed decisions by delivering meaningful insights, harnessed from reliable data.
We are currently hiring a
Data Operation Engineer
to be based in
Hanoi.
As a member of the Data Operations Team, you will play a vital role in helping us ensure that our customers consume only the best quality data and the flow of data through our systems carries on without a hitch.
You have a passion for data, understanding how it behaves and transforms as it flows through the eco-system. Your operational excellence will help us make sure that data flows smoothly to our customers, our systems are always available, stable and scalable. You love to seek out efficiencies, preferring to automate even the smallest task.
Responsibilities
Maintain and enhance data pipelines
Provide technical support in investigating and troubleshooting data-related bugs
Engage in technical design- Build reusable codes that are efficient, scalable, and stable
Create technical documentation- Write high-quality elegant, readable, and well-documented code
Validate code that enables customer and business goals- Evaluate and optimize code to maximize performance
Be accountable for \& maintain a sense of pride for the product- Manage individual project priorities, deadlines, and deliverables
Work closely with our PM and engineering teams to define feature specifications and build the next generation of products
Plan and execute on-site field service technical support at customer locations
Skills \& Experiences
Bachelor’s degree in Artificial Intelligence, Data Engineering, Data Analytics or related technical field of studies
Has 1 - 2 years of working experience in with data ETL workflows and data pipelines, which could include architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems
Fresh Graduates are encouraged to apply.
Experience in and understanding of data and information management- especially as it relates to big data trends, issues within businesses, and Business Intelligence technologies
Experience in writing code in a common development language such as
Python and data query languages such as SQL
Experience with traditional Analytic Warehouse solutions including SQL-Server and "Big Data" technologies
Experience with legacy and modern application development, cloud service delivery, and deployment
Proficient in English communication (Written \& Verbal)
Knowledge of software engineering best practices (e.g., Agile development practice, writing unit tests and testable code, etc.)
Good understanding of the software development cycle
Passion for solving complex and interesting problems
Strong analytical / critical thinking and communications skills