A Senior Data Engineer designing, building, and maintaining data pipelines, ETL processes, and data warehouse solutions for large-scale structured and unstructured data using SQL, Python, and big data technologies like Spark and Hadoop.
We are seeking a Senior Data Engineer that 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 in a scalable, repeatable and secure manner. The Senior Data Engineer focuses on defining optimal solutions to data collection, processing and warehousing. He / She designs, codes and tests data systems and works on implementing those into the internal infrastructure.
Job Responsibilities:
Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs
Work closely with data scientists to solicit data requirements to support modeling works
Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
Define, monitor and report SLAs for data pipelines and data products
Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
Drive/execute data quality assurance practices and
Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.
Qualities We Value
Shall have at least three (3) years' experience in building and optimising data pipelines, architecture and datasets using DI/ETL technology (Informatica, Talend etc).
Shall have experience in supporting data transformation, data structures, metadata, dependency and workload management, big data technologies (e.g.,Sparks, Hadoop, Hive).
Shall have the following skill sets: Data Wrangling, Data Visualization, DBMS, SQL, Python
Experience in multiple data source support (flat files, SQL database, SAP database, PostgreSQL database, unstructured data not limited to text, documents, images, digitalized video, digitalised audio, sensor data) would be advantageous.
Experience in these products/tools would be advantageous: MS Access (Front-end), SharePoint (Back-end), Power BI (Visualisation), Kubernetes, Docker/Podman, Microservices Architecture, DevSecOps Methodology
Only shortlisted candidates will be notified.
Please email a copy of your detailed resume to
(HIDDEN TEXT)
for immediate processing.
(EA Reg No: 20C0312)