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 modelsPartner 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 thinkingAdaptable to new challengesCapable of independently delivering projects from start to finishProficient 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 computingPython Frameworks and Tools : pip, pytest, boto3, pyspark, pylint, pandas, scikit-learn, kerasWorkflow Scheduling and Monitoring Tools : Apache Airflow, Luigi, AWS BatchColumnar and Big Data Databases : Athena, Redshift, Vertica, Hive / HadoopContainer Management and Orchestration : Docker, Docker Swarm, ECS, EKS / Kubernetes, MesosCI / CD Tools : CircleCI, Jenkins, TravisCI, Spinnaker, AWS CodePipelineDistributed Messaging and Event Streaming Systems : Kafka, Pulsar, RabbitMQ, Google Pub / SubStreaming Data Processing Frameworks : Spark Streaming, Apache Beam, Apache FlinkGeneral AWS or Cloud Services : Glue, EMR, EC2, ELB, EFS, S3, Lambda, API Gateway, IAM, CloudwatchVersion Control : Git commands, branching strategies, collaboration etiquette, documentation best practicesAgile / Lean Methodologies : Scrum, KanbanAdditional Skills (familiarity with any of the following is a plus) :
JVM Languages and Frameworks : Kotlin, Java, Scala / Maven, Spring, Lombok, Spark, JDK Mission ControlRDBMS and NoSQL Databases : MySQL, PostgreSQL / DynamoDB, Redis, HBaseEnterprise BI Tools : Tableau, Qlik, Looker, Superset, PowerBI, QuicksightData Science Environments : AWS Sagemaker, Project Jupyter, DatabricksLog Ingestion and Monitoring : ELK stack (Elasticsearch, Logstash, Kibana), Datadog, Prometheus, GrafanaMetadata Catalog and Lineage Systems : Amundsen, Databook, Apache Atlas, Alation, uMetricData Privacy and Security Tools and Concepts : Tokenization, hashing and encryption algorithms, Apache RangerIf 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!
![[August Onboard] Data Engineer - Leading HK Digital Bank](https://cdn-dynamic.talent.com/ajax/img/get-logo.php?empcode=manatal-ats&empname=IO%20TECH%20SOLUTIONS%20LIMITED){kind=logo}