


CORE RESPONSIBILITIES
- Create and manage cloud resources in AWS
- Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
- Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
- Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
- Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
- Define process improvement opportunities to optimize data collection, insights and displays.
- Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
- Identify and interpret trends and patterns from complex data sets
- Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
- Key participant in regular Scrum ceremonies with the agile teams
- Proficient at developing queries, writing reports and presenting findings
- Mentor junior members and bring best industry practices
QUALIFICATIONS
- 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
- Strong background in math, statistics, computer science, data science or related discipline
- Advanced knowledge one of language: Java, Scala, Python, C#
- Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
- Proficient with
- Data mining/programming tools (e.g. SAS, SQL, R, Python)
- Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
- Data visualization (e.g. Tableau, Looker, MicroStrategy)
- Comfortable learning about and deploying new technologies and tools.
- Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
- Good written and oral communication skills and ability to present results to non-technical audiences
- Knowledge of business intelligence and analytical tools, technologies and techniques.
Mandatory Requirements
- Experience in AWS Glue
- Experience in Apache Parquet
- Proficient in AWS S3 and data lake
- Knowledge of Snowflake
- Understanding of file-based ingestion best practices.
- Scripting language - Python & pyspark

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Who thrives in building applications at ease and speed and optimize the time and effort to build an application
Has good experience in building android applications
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Comfortable with managing development and deployment of applications
Open and more importantly excited about learning new technologies
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We work for insurance and Bank
Strategic planning
Coaching and consulting leadership about HR matters
Building a competitive organization
Being a company culture and employee experience champion
Our client uses protected methodologies to invert valuation of novel cryptographic assets during private DLT secured, varied contractual based, real-world exchange. It offers access to over 30 unique digital tools and solutions. With both Business-to-Business (B2B), and Direct-To-Consumer (DTC) models active, the company is a Blockchain, Software, Platform and Security as-a-service solution (B/S/P/SaaS).
The company has clients from all over the world and is boosting the independent economy by empowering members with private digital ownership of IP. Headquartered in the UK, the company has its offices in Hong Kong, USA, Thailand and India.
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- Writing clean, manageable code and maintaining proper documentation
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- Excellent organizational skills, attention to quality, self-motivation, and a desire to succeed
- Possess a professional presence suitable for direct client interaction by telephone or in-person


