Our reputable client is looking for a highly motivated Data Engineer to join their team in Singapore.
Responsibilities
· Work on the entire data production by implementing data ingestion pipelines (from multiple sources and in different formats), storage, transformation, then their provision: datamarts, cube, reports, datasets to feed models scoring (data science), API, mainly using Dataiku and Google BigQuery
· Ensure that the integration pipelines are designed in a manner consistent with the overall data framework in collaboration with the HQ’s data tech lead and according to best practices/ define framework
· Be part of a continuous improvement approach by optimizing and reusing existing assets for streamline.
· Take part in data integration processing aspects of data quality controls, monitoring, alerting and technical documentation, as well as data management (data models and mapping, data documentation, repositories, description of the transformations applied, etc.)
· Acquire a good understanding and analysis of business challenges and be able to translate the needs into the design of concrete technical solutions and gradually extend the functionalities and scope of our data platform based on Google cloud platform and Dataiku.
· Provide reliable estimates of workloads and planning according to the level of complexity and other activities to allow a good coordination of the activities of the team.
· Perform unit development tests and support business users in their tests before final validation.
· Contribute to the design and management of the data model, as well as to the orientations in terms of the architecture of our data platform (repositories, APIs, etc.)
· Set up pipeline monitoring and monitoring of the data platform and APIs (from a functional point of view and data quality)
Skills/Requirement:
· Mastery of the data stack components in Google Cloud Platform (certifications appreciated) including but not limited to: Google Big Query (nested fields, partitioning, merge SQL, authorized views, RLS), Cloud storage, Cloud functions, Cloud composer, Google Firestore, Google data catalog or similar services of other cloud services.
· Proficiency of Dataiku (on Google big query): development of dataiku flows, implementation of scenarios, scheduling, management of versioning, releases into production, administration etc.
· Mastery of complex SQL queries
· Good knowledge of Python is a plus
· Development practices with data exchange architectures: webservice, API, streaming.
· Development in an agile team and the tools used in CI / CD (Git, Bash, CLI, Azure devops, Jira, Confluence)
Knowledge of Microsoft Power BI, data catalog tool, data quality, data management
We regret to inform that only shortlisted candidates will be contacted
PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Registration No. R1547247 (Jyothi Chandrakanth Kamath)
This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.
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