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Mô tả công việc
Mô tả công việc
Tóm tắt công việc
Job description
Reporting to the Manager, Data Engineer you will be responsible for :
Collaborate in an agile Squad to understand analytics needs of business and Data Analysts, assist with all data-related technical issues and support their data infrastructure needs.
Assemble large, complex data sets from 1 st , 2 nd and 3 rd party data sources to meet analytics needs, using appropriate technology solutions including web data scrapper, RESTful API, and/or ETL/ELT tools
Implement data lake, data warehouse and data marts in accordance to the approved data pipeline design and architecture
Build infrastructure and tools required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability and stability, etc.
Why you'll love working here
Hone your creativity, invent and innovate, and set your own highest standards within a nurturing, equal opportunity environment. With our tremendous growth, we seek dynamic, entrepreneurial and broad-minded individuals to join us.
Yêu cầu
Yêu cầu công việc
Your skills and experience
In order to succeed in the role, you should ideally have:
Degree in Computer Science, Computer Engineering, Information Systems or another quantitative field
Up to 2-3 years experience working as Data Engineer
Working SQL knowledge and experience working with relational databases and query authoring (SQL)
Working experience with 1 or more languages / frameworks: Python, Java, JavaScript, Selenium
Strong interest to learn and develop skills in analyzing and implementing data pipelines for structured and unstructured data.
Experience with AWS (EC2, S3, Lambda, RDS, EMR, Redshift, Glue) is an added advantage
Experience with RDBMS (PostgreSQL) and NoSQL (Dynamo) databases is an added advantage
Experience with Big Data tools (Hadoop, Spark, Kafka) is an added advantage
Experience with ETL tools (Airflow, Airbyte, Talend) is an added advantage
Thông tin khác
Yêu cầu kỹ thuật:
Python
,
AWS
,
MS SQL
,
Java
,
JavaScript
,
PostgreSQL
,
ETL
,
NoSQL
,
AWS Lambda
,
RDBMS
,
Hadoop
,
Apache Spark
,
AWS Redshift
,
Big Data
,
Amazon S3
,
Amazon RDS
,
Apache Kafka
,
Amazon EC2
,
Talend
,
Amazon EMR
,
Apache Airflow
,
AWS Glue
Thông tin chung
- Ngày hết hạn: 20/08/2023
- Thu nhập: Thỏa Thuận
