- Chi tiết công việc
- Giới thiệu công ty
Thu nhập: Thỏa Thuận
Loại hình: Toàn thời gian
Chức vụ: Nhân viên
Kinh nghiệm: 3 năm
Mô tả công việc
Tóm tắt công việc
Why we're looking for you
We are on a mission to create the best possible user experiences, focusing on convenience, delight, and world-class design. With a team of talented, motivated individuals committed to continuous learning and innovation, we need someone like you to help us achieve our goals. By joining us, you will have the opportunity to build, collaborate, learn, and grow alongside some of the most dedicated professionals in the field. This role calls for a Data Engineer passionate about turning data into actionable insights, driving excellence, and contributing to products that make a difference.
You'll do
Data Engineering: Design, develop, and maintain robust ETL pipelines to extract, transform, and load data from various sources such as Google Analytics, Facebook Ads, Google Ads, and Shopify Ads...
Data Warehousing: Build and optimize data warehouses to store and manage large datasets efficiently.
Data Transformation: Transform raw data into a consumable format for data analysts and scientists.
Data Quality: Ensure data quality, accuracy, and consistency throughout the data lifecycle.
Data Infrastructure: Collaborate with the team to design and implement a scalable data infrastructure.
Data Reporting: Develop and deliver compelling data visualizations and reports to present insights and recommendations.
Data Governance: Adhere to data governance policies and ensure data security.
Cross-functional Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand their data needs.
We offer
Salary range: Negotiate
Performance review and competency evaluation: 2 times per year.
Lunch meal + Parking fees provided.
Annual performance bonus & 13th - month salary: up to 3-month salary (based on your devotion and business efficiency)
Holiday bonus & Company trip
Remote working days: 12 days per year
Annual leaves: 12 days per year
Treatment: annual health check-up at top clinic in VN, weekly shoulder massage treatment, monthly team bonding, annual company trip,...
Training program: ensure to cover product training for all newbie and other training programs according to the Company's policy
Why you'll love working here
Learn product-thinking and customer-centric mindset.
Collaborative and supportive environment
Young and passionate colleagues
Professional and creative office view
Clear & Scientific Agile Framework on the whole company workflow & culture.
Join a dynamic team to design and develop high-performance E-commerce products. Take on ambitious and challenging objectives by contributing to groundbreaking business models in the market.
Flexible working time:
Morning: 8:00 am -12:00 pm (check in from 8:00 am to 8:45 am)
Afternoon: 1:00 pm - 5:45 pm (check out from 5:00 pm to 5:45 pm)
Why we're looking for you
We are on a mission to create the best possible user experiences, focusing on convenience, delight, and world-class design. With a team of talented, motivated individuals committed to continuous learning and innovation, we need someone like you to help us achieve our goals. By joining us, you will have the opportunity to build, collaborate, learn, and grow alongside some of the most dedicated professionals in the field. This role calls for a Data Engineer passionate about turning data into actionable insights, driving excellence, and contributing to products that make a difference.
You'll do
Data Engineering: Design, develop, and maintain robust ETL pipelines to extract, transform, and load data from various sources such as Google Analytics, Facebook Ads, Google Ads, and Shopify Ads...
Data Warehousing: Build and optimize data warehouses to store and manage large datasets efficiently.
Data Transformation: Transform raw data into a consumable format for data analysts and scientists.
Data Quality: Ensure data quality, accuracy, and consistency throughout the data lifecycle.
Data Infrastructure: Collaborate with the team to design and implement a scalable data infrastructure.
Data Reporting: Develop and deliver compelling data visualizations and reports to present insights and recommendations.
Data Governance: Adhere to data governance policies and ensure data security.
Cross-functional Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand their data needs.
We offer
Salary range: Negotiate
Performance review and competency evaluation: 2 times per year.
Lunch meal + Parking fees provided.
Annual performance bonus & 13th - month salary: up to 3-month salary (based on your devotion and business efficiency)
Holiday bonus & Company trip
Remote working days: 12 days per year
Annual leaves: 12 days per year
Treatment: annual health check-up at top clinic in VN, weekly shoulder massage treatment, monthly team bonding, annual company trip,...
Training program: ensure to cover product training for all newbie and other training programs according to the Company's policy
Why you'll love working here
Learn product-thinking and customer-centric mindset.
Collaborative and supportive environment
Young and passionate colleagues
Professional and creative office view
Clear & Scientific Agile Framework on the whole company workflow & culture.
Join a dynamic team to design and develop high-performance E-commerce products. Take on ambitious and challenging objectives by contributing to groundbreaking business models in the market.
Flexible working time:
Morning: 8:00 am -12:00 pm (check in from 8:00 am to 8:45 am)
Afternoon: 1:00 pm - 5:45 pm (check out from 5:00 pm to 5:45 pm)
Yêu cầu
3+ years of experience in Data Engineering or a similar role in a product-based company, experience in the e-commerce domain or SaaS is a plus.
Proficiency in SQL and programming languages like Python.
Expertise in ETL tools and cloud services such as Airflow, DBT, AWS DMS, AWS Glue.
Strong understanding of data warehousing concepts and tools.
Experience with data visualization tools like Power BI.
Knowledge of database management systems and optimization techniques.
Excellent problem-solving and analytical skills.
Strong communication skills, both written and verbal.
Ability to work independently and as part of a team.
Passion for data and a drive to learn new technologies.
Proficiency in SQL and programming languages like Python.
Expertise in ETL tools and cloud services such as Airflow, DBT, AWS DMS, AWS Glue.
Strong understanding of data warehousing concepts and tools.
Experience with data visualization tools like Power BI.
Knowledge of database management systems and optimization techniques.
Excellent problem-solving and analytical skills.
Strong communication skills, both written and verbal.
Ability to work independently and as part of a team.
Passion for data and a drive to learn new technologies.
Thông tin khác
Python
MS SQL
Ecommerce
ETL
SaaS
AWS
Data Warehouse
MS Power BI
Apache Airflow
DMS
AWS Glue
Data Visualization
MS SQL
Ecommerce
ETL
SaaS
AWS
Data Warehouse
MS Power BI
Apache Airflow
DMS
AWS Glue
Data Visualization
Thông tin chung
- Thu nhập: Thỏa Thuận
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