Data Engineer, Unified Platform at DRW

Singapore

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, TradingIndustries

Requirements

Have experience designing and building data pipelines
Have experience working within modern batch or streaming data ecosystems
An expert in SQL and have experience in Java or Python
Can apply data modeling techniques
Able to own the delivery of data products, working with analysts and stakeholders to understand requirements and implement solutions
Able to contribute to project management and project reporting
3+ years of experience working with modern data technologies and/or building data-first products
Excellent written and verbal communication skills
Proven ability to work in a collaborative, agile, and fast-paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment
Proven ability to deliver rapid results within processes that span multiple stakeholders
Strong technical problem-solving skills
Extensive familiarity with SQL and Java or Python, with a proven ability to develop and deliver maintainable data transformations for production data pipelines
Experience leveraging data modeling techniques and ability to articulate the trade-offs of different approaches
Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.)
Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg)

Responsibilities

Help model, build, and manage data products built atop DRW’s Unified Data Platform
Work closely with Data Strategists to determine appropriate data sources and implement processes to onboard and manage new data sources for trading, research, and back-office purposes
Contribute to data governance processes that enable discovery, cost-sharing, usage tracking, access controls, and quality control of datasets to address the needs of DRW trading teams and strategies
Continually monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Contribute to the monitoring and quality control software and processes
Own the technical aspects of vendor ingestion pipelines, coordinating with vendor relationship managers on upcoming changes, performing routine data operations without breaking internal users, and contributing to the team’s on-call rotation to respond to unanticipated changes
Rapidly respond to user requests, identifying platform gaps and self-service opportunities that make the user experience more efficient

Skills

Key technologies and capabilities for this role

SQLJavaPythondata pipelinesdata modelingbatch processingstreaming data

Questions & Answers

Common questions about this position

What technical skills are required for the Data Engineer role?

Candidates need experience designing and building data pipelines, working within modern batch or streaming data ecosystems, expertise in SQL with experience in Java or Python, ability to apply data modeling techniques, and skills to own data product delivery while contributing to project management.

What are the main responsibilities of this Data Engineer position?

You will model, build, and manage data products on the Unified Data Platform, work with Data Strategists to onboard data sources, contribute to data governance, monitor pipelines and data quality, own vendor ingestion pipelines including on-call rotation, and respond to user requests.

What is the compensation or salary for this role?

This information is not specified in the job description.

Is this Data Engineer role remote or office-based?

This information is not specified in the job description.

What does DRW's company culture emphasize?

DRW values autonomy, the ability to quickly pivot, respect, curiosity, open minds, high expectations, integrity, innovation, and a willingness to challenge consensus.

DRW

Proprietary trading and risk management firm

About DRW

RGM Advisors engages in proprietary trading using its own capital to operate in various financial markets. The firm focuses on developing trading strategies that utilize advanced technology and data analytics to manage risk and pursue high returns. By serving institutional clients such as hedge funds and investment banks, RGM Advisors maintains a flexible business model that allows it to trade its own money, rather than clients' funds. This approach enables better risk management and the ability to generate revenue through trading profits, achieved by employing sophisticated algorithms and market-making strategies. RGM Advisors is distinguished by its global presence and its commitment to attracting top talent, providing them with the tools needed to excel and rewarding exceptional performance.

Chicago, IllinoisHeadquarters

2001Year Founded

M_AND_ACompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Daily catered breakfast & lunch

Massages

Social events

Gym subsidy

Flexible work arrangements

Monthly tastings

Game room

On-site yoga classes and meditation

Employee led affinity groups

Mentor/mentee outings

Trivia nights

Educational opportunities

DRW-sponsored sports teams

Poker tournament

Private mother's suite

Risks

Increased competition from algorithmic trading firms may erode DRW's market share.

Cryptocurrency market volatility poses risks to DRW's crypto-assets strategy.

Talent war in tech and finance sectors may impact DRW's ability to retain top talent.

Differentiation

DRW combines technology, research, and risk management for diversified trading opportunities.

They operate using their own capital, allowing quick pivots to capture opportunities.

DRW has expanded into real estate, venture capital, and crypto-assets.

Upsides

Machine learning algorithms enhance predictive accuracy and risk management in trading.

DeFi platforms offer new opportunities for higher returns in crypto-assets.

Quantum computing revolutionizes trading strategies with faster, complex data analysis.

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