Techcombank

Expert, Software Engineering (Data Operations)

Quận Cầu Giấy, Hà Nội

Quận 1, Hồ Chí Minh

Posted 2 years ago and Job expires in 2 years ago

Job Purpose:

The Data Ops Engineer is responsible for day-to-day technical development and delivery of data pipelines into data platform.

You will ensure delivery of solutions based on the backbone of good architecture, best data engineering practices around operational efficiencies, security, reliability, performance and cost optimization. The key focus of the role is:

Design, build and optimize data engineering pipelines to extract data from different sources and applications and feed into cloud data platform
Work closely with Data & BI team in building, testing and producing data extraction, transformation and reporting solutions within cloud platform
Support Data & BI team with BAU activities when required
Provide accurate and timely information that can be used in day to day operational and strategic decision making

Responsibilities

The Data Ops Engineer is responsible for day-to-day technical development and delivery of data pipelines into data platform.

Design, build and optimize data engineering pipelines to extract data from different sources and applications and feed into cloud data platform
Work closely with Data & BI team in building, testing and producing data extraction, transformation and reporting solutions within cloud platform
Support Data & BI team with BAU activities when required
Provide accurate and timely information that can be used in day to day operational and strategic decision making

Requirements

Success Profile - Qualification and Experiences Qualifications:

Graduated from university majoring in IT or electronics and telecommunications.

Work Experience: Essential:

Relevant work experience at Data Ops positions
Hands on experience in building ETL/ELT solutions for large scale data pipelines within AWS cloud
Hands on experience on SQL Server and Snowflake data warehouses
Hands on experience in data processing (using Spark, Python) for cloud data platforms, scheduling and monitoring of ETL/ELT jobs in AWS Glue and Lambda.
Hands on experience in solution architecture, data ingestion, query optimisation, data segregation, ETL, ELT, CI/CD framework.
Experience using Data Ops to develop data flows and the continuous use of data
Experience with cloud-based technologies within AWS specifically
Experience in developing technical and support documentation, translate business requirements and needs into reporting and models

Benefits

Competitive salary
Two-month probationary period with 100% salary, including basic insurance payment
13 months salary/year and with a performance bonus
Working hours are flexible, employees can choose shifts from 07:30 a.m - 09:00a.m to 04:30 p.m - 06:00 p.m
Agile environment, dynamic and international standards
Participate in many annual activities such as Team building, Active Saturday, Year-end party, ...
Join Techcombank Care with the Bao Viet insurance package
Participate in the preferential loan program for employees
Have the opportunity to work directly with foreign experts, use frequently English
Have a clear career development path in the direction of a Senior Expert or in the direction of a Manager