Data Engineer_ Roji

• A leading Regtech company, Tookitaki has developed advanced machine learning-
• powered solutions in risk and compliance to help the banking and financial
• services (BFS) industry achieve sustainability in their compliance programs. Our
• offerings are deployed in production across global reputed financial institutions.
• Incorporated in November 2014 in Singapore, the company is led by a core team with
• cumulative 150-years’ experience in financial crime, AI and big data analytics.
• Tookitaki’s client portfolio expands across AsiaPacific, North America and Europe
• markets, including a Japanese multinational investment bank, a large European bank,
• a leading Southeast Asian bank and such other global reputed financial institutions.
• Backed by institutional investors such as Jungle Ventures, Viola Fintech, Illuminate
• Financial and Enterprise Singapore (a subsidiary of the Singapore Government), the

Company’s Accolades Include

• We won the first place in the MAS FinTech Awards (Singapore SME) in the

  regulatory compliance space from the Monetary Authority of Singapore for our

• approach to make the workflows in AML and Reconciliation scalable and highly
• auditable (beyond ML based black box approach)

• We are accredited by IMDA as Innovative Tech Company in 2017 and 2019
• We are among the 56 growth-stage Companies from around the world

recognised by World Economic Forum as a Technology Pioneers 2019

• We are the winner in the Asian Private Banker Technology Awards 2019 for the

Best AML/CTF Solution

• We bagged the AI Award for the banking category at Singapore Business

Review’s inaugural Technology Excellence Awards 2019

• We won the Most Promising Innovation by the SG:D Techblazer Awards 2019

– Jointly organised by Singapore Digital (SG:D), IMDA and SGTECH

• We have participated and won in various Client Innovation Engagement

  Programs – Second Runner-up of the UBS Future of Finance Challenge,

• First Runner-up of the FinTech Challenge Vietnam 2019, Alumni of ING Fintech
• Village Cohort 2019 and many more
• In regulatory compliance, we focus on anti-money laundering and reconciliation and
• our products – Anti-Money Laundering Suite (AMLS) and Reconciliation Suite (RS) –
• cater to these areas, respectively.
• Today, regulatory compliance processes have become more complex and fluidic,
• increasing the chances for rule-based models to fail. Banks need to move beyond
• static rule-based systems and adopt a new approach to improve efficiency,
• effectiveness at optimal cost, ensuring sustainable compliance programs across the
• BFS industry. Tookitaki bridges the gap with its innovative software products – AMLS
• and RS.
• Job Title: SSE DE
• Tookitaki is looking for a Data Engineer who is familiar with the Hadoop platform and is able
• to design, implement and maintain optimal data/machine learning (ML) pipelines in the platform.

Responsibilities

The following are the main responsibilities of the role:

• Designing and implementing fine-tuned production ready data/ML pipelines in Hadoop

platform.

• Driving optimization, testing and tooling to improve quality.
• Reviewing and approving high level & detailed design to ensure that the solution

delivers to the business needs and align to the data & analytics architecture principles

and roadmap.

• Understanding business requirement and solution design to develop and implement

solutions that adhere to big data architectural guidelines and address business requirements.

• Following proper SDLC (Code review, sprint process).
• Identifying, designing, and implementing internal process improvements: automating

manual processes, optimizing data delivery, etc.

• Building robust and scalable data infrastructure (both batch processing and real-time) to

support needs from internal and external users

• Understanding various data security standards and using secure data security tools to

apply and adhere to the required data controls for user access in Hadoop platform.

• Supporting and contributing to development guidelines and standards for data ingestion
• Working with data scientist and business analytics team to assist in data ingestion and

data related technical issues.

• Designing and documenting the development & deployment flow.

• Experience in developing rest API services using one of the Scala frameworks
• Ability to troubleshoot and optimize complex queries on the Spark platform
• Expert in building and optimizing ‘big data’ data/ML pipelines, architectures and data sets
• Knowledge in modelling unstructured to structured data design.
• Experience in Big Data access and storage techniques.
• Experience in doing cost estimation based on the design and development.
• Excellent debugging skills for the technical stack mentioned above which even includes

analyzing server logs and application logs.

• Highly organized, self-motivated, proactive, and ability to propose best design solutions.
• Good time management and multitasking skills to work to deadlines by working

independently and as a part of a team.

• Ability to analyse and understand complex problems.
• Ability to explain technical information in business terms.
• Ability to communicate clearly and effectively, both verbally and in writing.
• Strong in user requirements gathering, maintenance and support
• Excellent understanding of Agile Methodology.
• Good experience in Data Architecture, Data Modelling, Data Security.

• Scala: Minimum 2 years of experience
• Spark: Minimum 2 years of experience
• Hadoop: Minimum 2 years of experience (Security, Spark on yarn, Architectural

knowledge)

• Hbase: Minimum 2 years of experience
• Hive - Minimum 2 years of experience
• RDBMS (MySql / Postgres / Maria) - Minimum 2 years of experience
• CI/CD Minimum 1 year of experience

• Kafka
• Spark Streaming
• Apache Phoenix
• Caching layer (Memcache / Redis)
• Spark ML
• FP (Scala cats / scalaz)
  Qualifications
• Bachelors degree in IT, Computer Science, Software Engineering, Business Analytics or
• equivalent with at-least 2 years of experience in big data systems such as Hadoop as well as
• cloud-based solutions.
• Job Perks

• Attractive variable compensation package
• Flexible working hours - everything is results-oriented
• Opportunity to work with an award-winning organization in the hottest space in tech

artificial intelligence and advanced machine learning

Skills: spark ml,caching layer,fp,scala,big data,hadoop,elasticsearch,apache phoenix,spark streaming,hive,spark,rdbms,kafka