drjobs Data Engineer - Leading HK Digital Bank

Data Engineer - Leading HK Digital Bank

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1 Vacancy
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Job Location drjobs

Hong Kong - Hong Kong

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Our client a leading digital bank backed by a multinational financial institution is rapidly expanding their team tackling exciting challenges and delivering top-notch products in small cross-functional groups. They are currently looking for frontend engineers to onboard in August.

Responsibilities:

  • Collaborate with the team to design maintain and enhance various analytical and operational services and infrastructure that are vital for numerous functions across the organizatio include:
    • managing the data lake operational databases data pipelines and large-scale batch and real-time data processing systems along with a metadata and lineage repository.
  • Work alongside ther data science team to structure data schemas and design data models
  • Partner with product teams to integrate new data sourceseam up with other data engineers to implement cutting-edge technologies in the data domain.


Our Ideal Candidate

We are looking for:

  • Candidates with substantial experience in some of the following skills and technologies and a motivation to expand their knowledge on the job.
  • Highly logical balancing respect for best practices with critical thinking
  • Adaptable to new challenges
  • Capable of independently delivering projects from start to finish
  • Proficient in English communication.
  • Collaboration with teammates and stakeholders is essential as is the eagerness to be part of a high-performing team that will elevate their careers alongside us.


Highly Relevant Skills (familiarity with at least one technology in most categories is preferred):

  • General Computing Expertise: Unix environments networking distributed and cloud computing
  • Python Frameworks and Tools: pip pytest boto3 pyspark pylint pandas scikit-learn keras
  • Workflow Scheduling and Monitoring Tools: Apache Airflow Luigi AWS Batch
  • Columnar and Big Data Databases: Athena Redshift Vertica Hive/Hadoop
  • Container Management and Orchestration: Docker Docker Swarm ECS EKS/Kubernetes Mesos
  • CI/CD Tools: CircleCI Jenkins TravisCI Spinnaker AWS CodePipeline
  • Distributed Messaging and Event Streaming Systems: Kafka Pulsar RabbitMQ Google Pub/Sub
  • Streaming Data Processing Frameworks: Spark Streaming Apache Beam Apache Flink
  • General AWS or Cloud Services: Glue EMR EC2 ELB EFS S3 Lambda API Gateway IAM Cloudwatch
  • Version Control: Git commands branching strategies collaboration etiquette documentation best practices
  • Agile/Lean Methodologies: Scrum Kanban


Additional Skills (familiarity with any of the following is a plus):

  • JVM Languages and Frameworks: Kotlin Java Scala / Maven Spring Lombok Spark JDK Mission Control
  • RDBMS and NoSQL Databases: MySQL PostgreSQL / DynamoDB Redis HBase
  • Enterprise BI Tools: Tableau Qlik Looker Superset PowerBI Quicksight
  • Data Science Environments: AWS Sagemaker Project Jupyter Databricks
  • Log Ingestion and Monitoring: ELK stack (Elasticsearch Logstash Kibana) Datadog Prometheus Grafana
  • Metadata Catalog and Lineage Systems: Amundsen Databook Apache Atlas Alation uMetric
  • Data Privacy and Security Tools and Concepts: Tokenization hashing and encryption algorithms Apache Ranger


If you feel that this position describes who you are what you are looking and you are urgently seeking a new role we encourage you to apply right away!

Employment Type

Full Time

Company Industry

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