No more applications are being accepted for this job
- Create and maintain data architectures that meets the needs.
- Build and maintain platforms required for storage, extraction, transformation, and loading of data from a wide variety of data sources.
- Improve discoverability and distribution of analytical data to data analysts and data scientists.
- Implement best practices in data security throughout the lifecycle of analytical data.
- Background in Information Systems (IS), Computer Science or related field in a reputed institution.
- Experience in designing and maintaining data platforms such as data lakes, data warehouses and the associated data pipelines.
- Proficient in creating and maintaining complex data pipelines using tools such as Microsoft SQL Server Integration Services (SSIS).
- Experience in Commercial Cloud such as Amazon web Services (AWS), Google cloud Platform (GCP) and Microsoft Azure.
- Knowledge of data platforms such as Spark, Flink, Kafka, SQL and NoSQL databases, Airflow.
- Knowledge of the latest developments in data engineering and best practices in data management.
- Knowledge of cloud technologies in data platforms is a plus e.g. Snowflake, AWS Redshift, Google BigQuery, Azure Synapse.
data engineer - Singapore - SOLVERMIND HOLDING (SINGAPORE) PTE. LTD.
Description
Roles & ResponsibilitiesJOB RESPONSIBILITIES:
JOB REQUIREMENTS:
Microsoft Azure
Airflow
Azure
Big Data
Pipelines
Hadoop
Data Management
Google Cloud Platform
Amazon Web Services
ETL
Microsoft SQL Server
Data Engineering
SQL
Python
SSIS
Databases