Data Engineer (Quantexa)

Singaporeonsitemid

Posted 1w ago · via Workable

About this role

Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch Develop and mai…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, java, scala, sql, elasticsearch…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Singapore. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonjavascalasqlelasticsearchkubernetesdockeransiblejenkinssplunkprometheussparkhadoophivebitbucketteams

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