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!