DataOps Engineer (Database, MySQL, SQL)

We are looking for an experienced DataOps Engineer to join our team.
The DataOps Engineer is responsible for day- to- day technical development and delivery of data pipelines into StorAI data. You will ensure delivery of solutions based on the backbone of good architecture, best data engineering practises around operational efficiencies, security, reliability, performance and cost optimisation.
To be successful in this role, you have to be an experienced DataOps Engineer with demonstrated knowledge and experience within data delivery, ETL/ELT, data management, solution design and delivery. Critical to success will be strong communication skills, analytical mindset, excellent documentation skills and have demonstrable experience in working with a variety of business stakeholders.
Core Responsibilities

Support various components of the data pipelines, including ingestion, validation, cleansing and curation.
Design enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories, and models for structured/unstructured data.
Develop ETL/ELT solutions using Azure Bob Storage, Data Factory), Spark, and Python to load data across multiple sources into Azure Snowflake.
Work with customer service, devops, and quality assurance teams to move software through the pipeline to the customer
Build the infrastructure required for optimal acquisition, transformation, and provisioning of data from a variety of data sources.
Help the team to maintain an overall position of strong data governance with great data observability (data monitoring & alerting, CI/CD pipelines).
Manage and ensure the success of ongoing data pipeline routines.
Design, implement and maintain a robust, efficient and compliant data pipeline architecture.
Engage with our software engineering team to ensure precise data points per application specifications
Create and maintain documentation on data pipelines

Yêu cầu công việc

Experience working within hybrid cloud environment; Azure experience is a plus
Experience with relational SQL and NoSQL databases, including Postgres and MSSQL Server.
Ability to work on high performing teams supporting multiple projects and personnel.
Experience with common distributed data tools in a production setting (Spark, Kafka, etc)
Expert Understanding of CI/CD and DevOps methodologies
Experience with basics of search engines/indexing (e.g. Elasticsearch, Lucene)
Bachelor&039;s or master&039;s degree in computer science, information systems, engineering, or equivalent
Experience with Linux, Docker and Bash scripting.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Expertise with ETL/ELT and the development of automated validation and data pipelines
Experience with object- oriented/object function scripting languages: .Net Core, C, Python, Scala,etc
Good English verbal communication is a big plus.

Salary & Allowances

Periodic medical checkup, Health/Social Insurances. Especially, Bao Viet Insurance after 10 months of employment
Be provided with high performance laptop and screen
Competitive income with 13th month salary and attractive performance bonus.
Annual leave: 12 days/year and other leaves/public holidays in accordance with the Labor Law of Vietnam

Career Growth

Opportunity to experience a great workplace where young & world- class talents work together passionately
Clear and flexible career path
Very diverse offline and online seminars & workshop provided by company, supervisors, mentors and buddies

Working Environment

Working in a progressive and international environment.
Complimentary snacks, fruits, drinks everyday.
Team building, company trip and monthly internal events.

Cập nhật gần nhất lúc: 2024-03-10 19:30:18