Senior Data Engineer

Data & Analytics

Singapore Permanent Negotiable

My client, an integrated approach in IT implementation of public healthcare systems is currently looking to hire Senior Data Engineers.

The successful candidate will be responsible to deliver the advanced analytical techniques to create analytics solutions that can scale to volume, velocity, and variety of data according to business’ needs.

Role Summary:

The Senior Data Engineer supports the implementation of data structure and architecture, master/meta-data management approach and data quality programme to facilitate access to data and information. He/She supports the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch, and real-time processing, and analysis of information from structured and unstructured sources in a scalable, repeatable and secure manner. He/She implements data management standards and practices.

Responsibilities:

* Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility

* Support translation of data business needs into technical system requirements

* Identify opportunities for improvements and optimisation

* Build data flow channels and processing systems to extract, transform, load and integrate data from various sources

* Develop complex code, scripts, and data pipelines to process structured and unstructured data

* Assist with integration of data systems into existing infrastructure

* Test data system configurations to increase efficiency

* Support the handling and logging of errors

* Monitor data system performance

* Automate data collection and analysis processes

* Develop tools to improve data flows between internal/external systems and the data lake/warehouse

* Contribute to defining data retention policies

* Able to administer, design, develop, validate, deploy and maintain ETL tool such as Informatica

Requirements:

* Degree/Master in Computer Science, Information Technology, Computer Engineering or equivalent.

* At least seven 5 to 8 years’ experience in providing data warehouse or advanced analytics solutions, especially in designing large Big Data technologies or analytics solutions.

* Demonstrate good, in-depth knowledge in relevant Extract-Transform-Load (ETL) hardware/software products, frameworks, and methodologies

* Experience with

* Databases (e.g. Oracle, MS SQL, MySQL, Teradata,)

* ETL development using Informatica

* Data repository design (e.g. operational data stores, dimensional data stores, data marts)

* Data interrogation techniques (e.g. SQL, NoSQL).

* Structured and unstructured data analytics.

* Data quality tools and processes.

* Data transformation and terminology equivalence mapping.

* Experience in data modeling for analytics (e.g. star schemas, snowflake schemas).

* Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).

* Experience with data acquisition tools (e.g., ETL, real-time data capture, and change data capture).

* Comfortable working independently to carry out data analysis, estimate data quality and sufficiency.

* Understanding and analysing huge volumes of data drawn from heterogeneous sources/repositories. Experience in working with Big Data technologies/solutions would be preferred.

* Experience with Business Intelligence Tools (i.e. Tableau, Microstrategy).

* Advance knowledge of Excel features and techniques required for the presentation of data.

* The ability to work towards strict and conflicting deadlines be able to plan and prioritise in an environment with multiple stakeholders.

* Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.

Salt is acting as an Employment Agency in relation to this vacancy.

Job Information

Job Reference: JO-1910-154791
Salary: Negotiable
Salary per: annum
Job Duration:
Job Start Date:
Job Industries: Data & Analytics
Job Locations: Singapore
Job Types: Permanent

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