• Monitor, support and continuously enhance production pipelines to ensure data availability and data accuracy targets are consistently met.
• Define, design and optimise data modelling strategy within data lake, while establishing design standards, best practices and development methodologies to ensure our data models aligns with user needs and business goals.
• Collaborate with the Data Infrastructure Manager to identify, implement and drive ongoing enhancements, ensuring that the data architecture and infrastructure remain scalable, adhere to industry standards, and continually improve load time and cost efficiency.
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Familiarity with standard water treatment processes and principles in the semiconductor industry, knowledge of commonly used equipment and instruments for water systems, and experience in operating water systems in this industry is preferred.
Ability to promptly identify the causes of issues that arise during the operation of the water system and provide solutions; for problems that cannot be resolved, ability to resolve them through established processes.
Good physical health and strong physical stamina; capable of performing manual tasks effectively and independently in the operation and maintenance of water treatment systems.
Assist in the maintenance and execution of IATA Pool-related programs such as IFQP and IDQP
Assist in implementing the compliance monitoring framework to identify and address potential non-conformities with CAAM regulations, organization-approved policies, and industry best practices.
Provide support in gathering information and reporting compliance status to senior management.
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Familiarity with standard water treatment processes and principles in the semiconductor industry, knowledge of commonly used equipment and instruments for water systems, and experience in operating water systems in this industry is preferred.
Ability to promptly identify the causes of issues that arise during the operation of the water system and provide solutions; for problems that cannot be resolved, ability to resolve them through established processes.
Good physical health and strong physical stamina; capable of performing manual tasks effectively and independently in the operation and maintenance of water treatment systems.
Familiarity with standard water treatment processes and principles in the semiconductor industry, knowledge of commonly used equipment and instruments for water systems, and experience in operating water systems in this industry is preferred.
Ability to promptly identify the causes of issues that arise during the operation of the water system and provide solutions; for problems that cannot be resolved, ability to resolve them through established processes.
Good physical health and strong physical stamina; capable of performing manual tasks effectively and independently in the operation and maintenance of water treatment systems.
Familiarity with standard water treatment processes and principles in the semiconductor industry, knowledge of commonly used equipment and instruments for water systems, and experience in operating water systems in this industry is preferred.
Ability to promptly identify the causes of issues that arise during the operation of the water system and provide solutions; for problems that cannot be resolved, ability to resolve them through established processes.
Good physical health and strong physical stamina; capable of performing manual tasks effectively and independently in the operation and maintenance of water treatment systems.
Familiarity with standard water treatment processes and principles in the semiconductor industry, knowledge of commonly used equipment and instruments for water systems, and experience in operating water systems in this industry is preferred.
Ability to promptly identify the causes of issues that arise during the operation of the water system and provide solutions; for problems that cannot be resolved, ability to resolve them through established processes.
Good physical health and strong physical stamina; capable of performing manual tasks effectively and independently in the operation and maintenance of water treatment systems.
Build and manage the data asset using some of the most scalable and resilient open source big data technologies like Airflow, Spark, Apache Atlas, Kafka, Yarn, HDFS, ElasticSearch, Presto/Dremio, HDP, Visualisation layer,Snowflake and more.
Design and deliver the next-gen data lifecycle management suite of tools/frameworks, including ingestion and consumption on the top of the data lake to support real-time, API-based and serverless use-cases, along with batch (mini/micro) as relevant
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The Data Engineer is responsible for reviewing the approved User Requirements Study (URS) and Data Warehouse Design (DWD) documents and producing a comprehensive ETL Mapping Design Document for an Oracle Exadata Data Warehouse environment.
The ETL Mapping Design will serve as the technical specification for ETL developers to build data integration processes that load, transform, validate, and maintain data within the Oracle Exadata Data Warehouse.
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Cross-Functional Collaboration: Support and collaborate closely with cross-functional and multidisciplinary teams in a fast-paced environment.
Data Impact: Leverage data visualization tools and techniques to maximize the business impact and intrinsic value of data.
Internal Stakeholder Management: Manage technical communication, alignment, and relationships with internal business units, product managers, and engineering teams to ensure data deliverables align with organizational goals.
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Support and work with cross-functional and multidisciplinary teams in a dynamic environment. Leverage data visualization tools and techniques to maximize impact and value of data.
Manage external technical communication with partners and vendors. Contribute to improving data governance policies.
Keep current with technical and industry developments.
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Downstream Consumers: You will directly enable the Analytics & BI Team (who partner with business units to define use cases and build BI apps) and the AI Engineering Team (who require highly structured, model-ready features), alongside various other core downstream applications dependent on your data pipelines.
Enterprise Data Modeling & Strategy Rollout: Own the vision, design, and continuous expansion of our enterprise Common Data Model (CDM). Tailor this model explicitly to the complex, multi-channel realities of a modern retail context (inventory, customer journeys, transactions, supply chain).
AI & GenAI for Data Engineering Innovation: Research, test, and integrate AI and Generative AI capabilities into the data engineering lifecycle. Utilize GenAI for automated pipeline generation, synthetic data creation, automated documentation, SQL/code optimization, and intelligent schema mapping to significantly shorten delivery timelines.
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