Our clinet, a financial institution, is on an exciting journey to simplify and transform its business and IT landscape. With a multi-year digitalization program underway, they are expanding the Data and Technology team.
As a Data Engineer, you will be instrumental in developing, maintaining, testing, and evaluating data solutions within our cutting-edge Data and Analytics Platform. You will also manage tasks related to data engineering to solve complex business challenges and handle significant data engineering work for various business units across the organization
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about the job.
Develop, maintain, test, and evaluate data solutions within our next-generation Data and Analytics Platform.
Design and build distributed and highly parallelized data processing pipelines for massive structured and unstructured data in batch and near real-time.
Enrich and transform corporate data to enable searching, data visualization, and advanced analytics under a continuous delivery model.
Assist in managing tasks for data engineering, including clarifying requirements, developing basic data models, and creating data dictionaries.
Collaborate with business units, business enablement teams, data platform engineers, and upstream/downstream system teams for smooth cooperation and timely, high-quality task completion
skills & experiences required.
3+ years of experience and knowledge in data pipeline development in the Financial Service sector.
Exceptional programming skills in Java, Scala, Python, or SQL.
Experience with Data Lake Framework (Apache Hudi / Iceberg / Delta Lake) and Data Processing technologies (Apache Spark and Airflow).
Experience in software development with Agile methodology, continuous integration, automated releases, development lifecycle, and change management.
Excellent communication skills and experience working in an international team.