Bank Data Engineer Up to NET $2000

We’re looking for data engineers to join our data team at our global bank to drive the force behind our business strategies and decisions. Our Data Engineering team solves complex problems and delivers data to propel our business forward, powering the insights used in every decision. * Roles and Responsibilities: ● Develop and support our enterprise data warehouses, analytical databases, and infrastructure ● Work with the team to re-platform our existing data architecture to next-generation tooling and data architecture ● Build/Maintain our data pipelines in Python and SQL to ensure that data is delivered in a timely manner ● Work closely with our Data Scientists and Data Analysts to implement new insights and statistical models ● Assist in developing tools/processes to enable our business to self-serve Key tech you’ll play within this role ● Both AWS and GCP ● BigQuery, SQL Server and Redshift ● Docker & Kubernetes ● Airflow, Cloud Composer and Pentaho ● Cloud Dataflow/Apache Beam ● High-velocity streaming data, behavioral data and well as structured and unstructured data

● Bachelor’s or higher’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field ● Have 3+ years of experience as a Data Engineer or Software Engineer, preferably in Banking - Financing industries. ● Proficient in the programming language (Python, R) ● Experience in systems architecture – particularly in complex, scalable, and fault-tolerant distributed systems ● Good at multi-threading, atomic operations, and computation framework: Dataframe, SQL…, distributed storage, distributed computing ● Understand resilience designs, fault tolerance, high availability, and high scalability, … ● Cloud experience AWS. ● Good at communication & team working ● Being open-minded, willing to learn new things ● Having experience in the field of Finance - Banking is a priority.