[August Onboard] Data Engineer - Leading HK Digital Bank
# [August Onboard] Data Engineer - Leading HK Digital Bank **IO Tech Solutions Limited** · China · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Big-Data-Engineer]` `[ETL-Engineer]` `[Data-Infrastructure-Engineer]` `[Banking-Data-Engineer]` `[Senior-Financial-Data-Engineer]` --- ### About the Role 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! Originally posted on Himalayas
- Data-Engineer
- Big-Data-Engineer
- ETL-Engineer
- Data-Infrastructure-Engineer
- Banking-Data-Engineer
- Senior-Financial-Data-Engineer
Наблюдалась 2026-10-11, впервые 2026-10-11, источник — Himalayas (JSON API).