Data Engineering Manager - Big Data

Singaporeonsitemanager

Posted yesterday · via Workable

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About this role

Location: Singapore Experience: 10+ years in Data Engineering, including hands-on Big Data expertise and team management Domain: Banking / Financial Services preferred Key Responsibilities Lead and manage data engineering teams to design, develop, and deliver scalable enterprise data platforms and pipelines. Maintain strong hands-on expertise in Big Data technologies such as Hadoop, Spark, PySpark, Hive, Kafka, and distributed data processing . Design and implement robust ETL/ELT pipelines, data ingestion frameworks, data transformation, and data integration solutions. Drive data engineering architecture, technical design, performance tuning, and optimization of large-scale data processing workloads. Manage data lake, data warehouse, and modern cloud-based data platform implementations.…

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What we'd score you on

reqspace match rubric

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Skills match

For this role: python, sql, databricks, aws, azure…

Level fit

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

Domain experience

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

Recency

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

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.

pythonsqldatabricksawsazuregcpsparkpysparkhadoophivekafkateams

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