Data Engineer (SG) - SaaS
Our client is a SaaS Series B startup looking for skilled and experienced data professionals who are able to work collaboratively in a team to implement top-notch user interfaces.
The platform is trusted by some of the largest banks, insurers, telcos and retailers, it is the solution of choice for top regional and global B2C enterprises.
The Data Engineer will be responsible for the development, maintenance and automation of data pipelines. He/She will be required to work closely with the data team, backend engineers and business users in order to deliver the best solutions.
Manage and monitor data pipelines and processes
Implement working data projects as based on the given specifications
Develop real-time and batch data through the use of modern technologies such as Apache Beam and Kafka
BS/MS degree in Computer Science, Mathematics, Physics or any other quantitative field
At least 3 years experience in developing end-to-end Business Intelligence solutions
Experienced in at least one programming language (Python, Scala or Java)
Candidates with knowledge or skill with cloud-based data platforms will be preferred (BigQuery, Snowflake, Cloud Data Flow, Managed Apache Spark)
Highly skilled in writing advanced SQLs
Experienced in building reports or data visualization
Strong verbal and written communication
Excellent team player