Solution Architect (Cloud, Data, Python, Scala)

Key Responsibilities:

• Participate in the design and building of infrastructure (cloud) required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and ETL tools (Talend)
• Re Architect OSOT by designing APAC specific Enterprise Data Platform to to deliver cloud-based intelligent systems and build data pipelines, architectures, and data sets from raw, loosely structured data & build processes supporting data transformation, data structures, metadata, dependency and analyze disparate and diverse data assets to automate insights and drive business performance
• Interface with the cross-functional teams including Finance, Risk, SCM and Product to design and build data models that provide actionable insights into key business performance metrics, as well as supporting the needs of the commercial team
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases leveraging big data technologies
• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
• Works closely with leaders within data architecture, enterprise architecture, data science/analyst and domain experts, to build and maintain roadmaps against the IT strategy
• Own the delivery of a modern data engineering model that follows Dev/Ops principles and standards for continuous integration/ continuous delivery (CI/CD) processes
• Should be a strategic thinker with holistic vison, specific focus on the identification for the automation of existing manual processes to drive key business performance
• Participate in Project Working groups and assist in tracking the Project Mile Stones and deliverables 

Key Requirements:

Bachelor's degree required with a master's degree (or equivalent) in computer science, engineering (all branches), math or a related field preferred.

8+ years of experience with public and private cloud solutions, including building and maintaining a data ecosystem that includes an ERP environment

8+ years of experience in designing and building data-intensive solutions using distributed computing

6+ years of experience in programming with SQL, Python, Scala and Java

Experience with distributed data streaming frameworks like Spark Structured Streaming, Apache Flink, Kafka

OLAP system experience (Cubes, MSSQL)

Data warehouse usage and optimization experience (RedShift, Hive, Snowflake)

Experience building data visualizations or analytics e.g. Power BI, SSRS

Strong analytic skills and understanding statistical methodologies.

Experience building machine learning models

Ability to communicate effectively with external clients and internal teams and manage expectations

Demonstrated ability to work as an effective team member, share knowledge and information with the team and help others meet team priorities.

Able to work independently & be an effective decision maker

Rajkumar Renganathan

Quess Selection & Services, Singapore

EA Licence Number: 23C2060 Registration ID is R1983662

M: +65 93389067 (Call & WhatsApp) | +65 6668 7435 |