As a Data Analytics Engineer, you will work closely with cross-functional teams to understand business requirements, identify data sources, and develop robust data pipelines. Your expertise in data modeling, analysis, and visualization will be crucial in extracting meaningful insights from large datasets.

Responsibilities:

Collaborate with stakeholders to understand business objectives and translate them into solutions.

·Design and develop data pipelines to extract, transform, and load (ETL) data from various sources.

Build and manage data models to support analytics and reporting use cases

Perform exploratory data analysis to identify trends, patterns, and anomalies in the data.

Ensure data quality, integrity, and governance across datasets

Implement data validation, monitoring, and alerting mechanisms

Implement data visualization techniques to present insights in a clear and actionable manner.

Develop predictive models and algorithms to solve complex business problems

Optimize data storage and retrieval processes for improved efficiency and scalability.

Requirements:

Bachelor's degree in Computer Science (Big Data), Statistics, Mathematics, or a related field.

Proven experience as a data engineer or data analyst, with a focus on building analytical solutions.

Strong understanding of data modeling techniques and database design principles.

Proficiency in programming languages such as Python, SQL, and R.

Hands-on experience with data integration and ETL/ELT tools, including Talend and/or Informatica

Experience with data virtualization and federation tools, such as Denodo

Experience with analytics and data science platforms, such as Dataiku

Excellent communication and problem-solving skills.

Ability to work independently and collaboratively in a fast-paced environment

5 day week @ AMK area

Singaporeans Only

Maestro HR

Damien lee tian hong

R1106726

16C8462