PURPOSE - To accelerate the delivery of Polaris strategy outcome including product simplicity, experience focus, multi-channel distribution, hyper-relevant channel interactions, and systematic organizational agility, this role of Manager, Data Engineering, will work with Group Data team to support group data solution delivery as well as supporting local entities to deliver local data initiatives which both group and local data solutions aligning with digital technology operations strategy combining with our infrastructure strategy to standardize our cloud adoption and cloud optimisation. - Ensure the business, application, data and technology aspects of a solution design is aligned with both the Group Enterprise Architecture strategy and Group Data Architecture strategy. - Major support and cooperate with Group Data team to design and deliver data solutions, enable DaaS and enhance data services/functionalities on Group Data Platform (GODP) KEY ACCOUNTAIBILITIES - Design, develop, document and implement end-to-end data pipelines and data integration processes, both batch and real-time. This include data analysis, data profiling data cleansing, data lineage, data mapping, data transformation, developing ETL / ELT jobs and workflows, and deployment of data solutions. - Monitor, recommend, develop and implement ways to improve data quality including reliability, efficiency and cleanliness, and to optimize and fine-tune ETL / ELT processes. - Recommend, execute and deliver best practices in data management and data lifecycle processes, including modular development of ETL / ELT processes, coding and configuration standards, error handling and notification standards, auditing standards, and data archival standards. - Prepare test data, assist to create and execute test plans, test cases and test scripts. - Collaborate with Data Architect, Data Modeler, IT team members, SMEs, vendors and internal business stakeholders, to understand data needs, gather requirements and implement data solutions to deliver business goals. - BAU support for any data issues and change requests, document all investigations, findings, recommendations and resolutions. QUALIFICATION & EXPERIENCE \xc2\xb7 Bachelor in IT, Computer Science or Engineering. \xc2\xb7 At least 3+ years solid and hands-on experience in real-time event/data streaming experience using Kafka/Spark/Spark Stream/Flink ecological environment development, proficient in basic knowledge and data development technology related to data processing, relevant experience in real-time data processing in large volume environment. Have experience with Kafka and Confluent Platform is highly preferred. \xc2\xb7 At least 3+ years of solid hands-on development experience with ETL development to transform complex data structure in multiple data sources environment. \xc2\xb7 Strong programming on Python and T-SQL ETL/ELT programming. \xc2\xb7 Experience on Azure Databricks for ETL/ELT development and big data analytics programming in Python \xc2\xb7 Strong Experience with various of ETL/ELT frameworks, data warehousing concepts, data management framework and data lifecycle processes. \xc2\xb7 Solid understanding on Azure Data Management Solution including Azure Data Factory, Azure Databricks, Azure Blob storage (Gen2) and Azure Synapse KNOWLEDGE & TECHNICAL SKILLS \xc2\xb7 Familiar with ETL/ELT framework, data warehousing concepts, data management framework and data lifecycle processes. \xc2\xb7 Experienced in handling and processing different types of data (structured, semi-structured and unstructured). \xc2\xb7 Strong knowledge in various database technologies (RDBMS, NoSQL and columnar). \xc2\xb7 Ability to communicate and present technical information in a clear and unambiguous manner.
Kamlax Global Technologies is a leading IT services & business solution provider delivering cutting edge technology solutions to enterprises across the world. we add value to organizations through a synergy of skills, technology insight, innovation, products and services that orchestrate our customer\'s business to perfection. Our expertise bridges the gap between the businesses and IT and offers detailed, process-driven solutions enabling our customers to enhance productivity and achieve better ROI. Our endeavor is to ensure customer satisfaction and to add value to their overall business objectives. Recognizing the importance of quality in meeting client needs plus hiring and supporting the best team possible to assure we achieve these quality objectives. Quality and good customer solutions via good staffing is our primary business mission.
Diploma / Advanced Diploma / Higher Graduate Diploma / DVM / DKM Level 4 / DLKM Level 5
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