About this role
The successful candidate will be responsible for designing, developing, and maintaining data ingestion and processing jobs according to business requirements, while also integrating data sets to ensure seamless data access for users. Key duties include analyzing data needs, refining data collection, planning and implementing data engineering jobs, and supporting production issues with a focus on high availability and security.
The ideal candidate must possess a minimum of 4 years of experience managing data engineering jobs in a big data environment like Cloudera Data Platform, with overall experience ranging from 4 to 10 years, preferably at a Consultant or Senior Consultant level. Essential technical skills include strong SQL, data modeling, data analysis, and hands-on experience with Python, PySpark, Linux, and ETL tools like Informatica.
What they're looking for
PythonPySparkLinuxSQLData ModellingData AnalysisETL ToolsInformatica
Frequently asked questions
What does a Data Engineer at AvePoint do?
The successful candidate will be responsible for designing, developing, and maintaining data ingestion and processing jobs according to business requirements, while also integrating data sets to ensure seamless data access for users. Key duties include analyzing data needs, refining data collection,…
What skills does this Data Engineer role need?
Key skills for this role include Python, PySpark, Linux, SQL, Data Modelling, Data Analysis.
How much does a Data Engineer at AvePoint pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Data Engineer role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Data Engineer role?
You can apply directly on AvePoint's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.