Full-timeTech & engineering· Posted 17 Sept

Data Engineering Lead - Big Data Technologies- Vice President

CitiFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

Singapore

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Start: Not stated
Work mode: On-site
Experience: Experienced

About the role

A senior engineering leadership role within the Global Wealth Data function, guiding data engineering work that supports portfolio managers, investment advisors and other wealth management stakeholders. The position oversees a globally distributed engineering team and the platforms that deliver large-scale wealth data. It suits an experienced data engineering leader with deep big data and cloud expertise who is comfortable in a fast-paced financial setting.

What you'll do

Set and drive the data engineering roadmap for Global Wealth Data in line with business and technology goals.
Lead, coach and grow a globally distributed team of data engineers.
Oversee the design and build of scalable data pipelines, data warehouses and data lakes.

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Ensure data quality, integrity and availability across global wealth data.

Evaluate and choose data engineering technologies and tools, keeping up with industry practice.

Monitor and tune pipelines and infrastructure for performance, scalability and cost.

Work with business stakeholders, data scientists, portfolio managers and technology teams to meet data needs.

Put in place and enforce data governance policies covering quality, security and regulatory compliance.

Good to know

Full-time position based in Singapore.
Bachelor's degree or equivalent experience required; a master's degree is preferred.

Requirements

10–15 years of hands-on experience with Hadoop, Scala, Java, Spark, Hive, Kafka, Impala and Unix scripting plus other big data frameworks
4+ years working with relational SQL and NoSQL databases such as Oracle, MongoDB and HBase
Strong Python and Spark Java skills, with knowledge of core Spark concepts (RDDs, DataFrames, Spark Streaming) plus Scala and SQL
Experience in data integration, migration and large-scale ETL (e.g. PySpark, DataStage, AbInitio), including design, build, reconciliation and normalization
Data modelling experience across OLAP, OLTP, logical and physical modelling, normalization and performance tuning
Experience working with large, multiple datasets and data warehouses

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Data Engineering Lead - Big Data Technologies- Vice President

About the role

What you'll do

Good to know

Requirements

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