Data Engineer

6 days ago


Singapur, Singapore OCBC Group Full time

Get AI-powered advice on this job and more exclusive features. Data Engineer (Data Warehouse) - Singapore Imagine being part of a team that designs and develops innovative digital solutions for OCBC's customers. As a Data Engineer, you will play a key role in shaping the bank's technology landscape and delivering exceptional customer experiences. You will have the opportunity to work on exciting projects, collaborate with talented professionals, and grow your career in a dynamic and supportive environment. To excel in this role, you'll need to combine technical expertise with business acumen and collaboration skills. You'll work closely with stakeholders to understand their needs, design and develop solutions that meet those needs, and ensure seamless integration with existing systems. Your ability to balance technical complexity with business requirements will be crucial to your success. Your Day-to-day Responsibilities Will Include Based in the Group Data Office - Data Engineering team, you will be responsible for developing and enhancing data pipelines and architecture Create and maintain the optimal data pipeline to enable ingestion from a wide variety of structured and semi-structured data sources Working with business users to define and understand business requirements to develop and implement solutions Support development and deployment of applications utilising the data pipelines to provide actionable insights Involve in UAT execution with a focus on strategic testing processes and procedures to ensure that business standards and specifications are met Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and cleansing/transformation Support various business functions by collaborating with multiple stakeholders - business, IT, and vendors independently Who you are Minimum 3 to 5 years of working experience in Data Engineering, Big Data solutions, and analytics functions Solid background in traditional structured database environments such as Teradata / Oracle, SQL & PL/SQL Extensive knowledge on Hadoop ecosystem components such as HIVE, Impala, Kudu, HDFS, Spark, Flink Fluent in structured and semi-structured data, its management, and modern data transformation methodologies Experience in data transformation tools such as dbt, responsible for building models and orchestrate using tools such as Dagster, Control‑M Knowledge on data warehouse concepts Understanding of banking with exposure to consumer business functions is preferred Excellent communication and collaboration skills, with the ability to work with diverse stakeholders Energetic personality with an innovative, self‑starting spirit. Someone that likes to ask “why?” What we offer Competitive base salary A suite of holistic, flexible benefits to suit every lifestyle Community initiatives Industry‑leading learning and professional development opportunities Equal opportunity Fair employment Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries Banking #J-18808-Ljbffr


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