Specialist, Information Technology - Singapore - EMPLOYMENT AND EMPLOYABILITY INSTITUTE PTE. LTD.

EMPLOYMENT AND EMPLOYABILITY INSTITUTE PTE. LTD.

Verified Company

Singapore

3 days ago

Posted by:

Wei Jie

beBee Recruiter

Description

You will play a crucial role in designing, developing, and maintaining our organisation's data infrastructure and pipelines that enable our organisation to extract valuable insights.

Responsibilities

Identify data from different source systems and develop ingestion, data processing and data warehouse pipeline.
Supports the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and realtime processing, and analysis of information in a scalable, repeatable, and secure manner.
Defining optimal solutions to data collection, processing, and warehousing.
Focuses on collecting, parsing, managing, analysing, and visualising large sets of data to turn information into insights accessible through multiple platforms.
Collaborate with stakeholders to understand organisation requirements then build, design and manage interpret solutions for reporting and dashboard.
Ensure business rules and data definition are standardised across users and reports/dashboards.
Collaborate with crossfunctional teams to ensure data integration and interoperability across different systems and platforms.
Review and ensure organisation's data policy, data security standard and data governance guidelines are adhered to.
Implement and monitor data security and privacy measures on existing data solutions.
Create and maintain comprehensive documentation of data processes, pipelines, and infrastructure.
Other duties as required.

Requirements:

Proficiency in one or more programming languages commonly used in data engineering, such as Python, Java, or Scala.
Familiarity with relational databases (e.g., MsSQL, MySQL) and NoSQL databases (e.g., MongoDB).
Strong understanding of SQL for querying, data manipulation, and database management.
Familiarity with data warehousing concepts, dimensional modelling, and data schema design.
Basic knowledge of Extract, Transform, Load (ETL) tools and frameworks.
Understanding of various data formats like CSV, JSON, Avro, Parquet, etc.
Basic understanding of cloud computing platforms like AWS, Azure, or GCP, and their relevant data services.
Familiarity with version control systems, such as Git.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.