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!