Data Engineer

Join us in building a virtual bank from scratch using cloud native technologies. We're a fast-growing team solving exciting problems and delivering high quality products in small, interdisciplinary teams. We’re applying the learnings from Google, Twitter and Netflix to build the next generation of banking.

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Responsibilities
  • Collaborate closely with our development and product teams in our fast-paced delivery environment
  • Design, build and maintaining modern, automated, cloud native, analytics infrastructure
  • Build and manage data warehouses, databases, data pipelines
  • Understand and translate business needs into data models supporting long-term solutions. Work with the development team to implement data strategies, build data flows and develop conceptual, logical and physical data models that ensure high data quality and reduced redundancy
Requirements
  • Container Management and container orchestration experience, like Docker, Kubernetes
  • Monitoring tools Elastic Stack, Prometheus, Grafana
  • Breadth of knowledge – operating systems, networking, distributed computing, cloud computing,
  • Familiar with Big Data Technologies, e.g. AWS RedShift, Panoply, ETL Tools, e.g. StitchData and Segment, Machine Learning technologies and environments
  • Knowledge of technology best practices for building a modern data lake, data warehouses and data pipelines
  • Good understand of technologies and experience in building a highly scalable and fault tolerant cloud data platform
  • Self-starter, capable of working without direction and able to deliver projects from scratch
  • Good practical experience and knowledge in building and maintaining Data Warehousing/Big Data Tools - Hadoop and MapReduce, Apache Spark and Spark SQL, HIVE
  • In-Depth Database Knowledge of RDBMS (PostgreSQL and MySQL) and NoSQL (HBase)
  • Strong experience in building and maintaining cloud Big Data and ETL tool, Google Big Table, Big Query and Air Flow (Google Composer)
  • Strong knowledge and experience with Apache Beam in implementing batch and streaming data processing jobs, strong Development background in Python or Java
  • Strong knowledge in messaging systems like Kafka, RabbitMQ and Google Pub/Sub
  • Experience with Agile/Lean projects SCRUM, KANBAN etc.
  • Practical knowledge with Git flow, Trunk and GitHub flow branching strategies
  • Strong English communication skills

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