Data Engineer
5 days ago
SummaryThe objective of the position is to design, implement, run & maintain, and support the data Architecture as well as the organisation's Business Intelligence systems.What you'll doDesigning, building and maintaining Business intelligence systems including integration with databases and data warehousing.Design and build the DWH database models (star schema).Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.Manage application roles and access rights for end users including row level security filters, to protect sensitive data.Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model.Collaborate with Business Controlling and business counterparts on new reporting requirements.Ensure data quality, security and compliance with industry standards and internal guidelines.Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.Working with business stakeholders in the analysis and collection of business reporting requirements and understanding their needs.Building and managing the data models for BI dashboards and work closely with Controlling team to ensure the data models fulfil reporting requirements.Perform Status- and Performance monitoring of the BI & analytics platforms and underlying Data Lake/Data warehouse systems.Perform regular system maintenance and updates to existing BI solutions to enhance functionality and incorporate new data sources or analytics capabilities as well as ensure compliance with internal technical guidelines and information security policies.Provide 2nd level support for BI & Analytics front end tools and reporting issues.What you'll need5+ years of experience as a BI developer / Data Engineer in an enterprise environment with hands-on on Database modelling.
Currently in Oracle environment and going forward with GCP stack.Proficiency in SQL and data warehousing.Proficiency in designing and developing scalable data pipelines using GCP services like Cloud Dataflow, Apache Beam, and Cloud Dataprep.Experience with GCP storage solutions such as BigQuery, Cloud Storage, and Cloud Spanner.
Ability to design and optimize data models, schemas, and tables for efficient data storage and retrieval.Ensuring data quality and integrity through data validation, cleansing, and enrichment processes.Strong understanding of data modelling techniques and hands-on experience building database models (star schema).Expertise with ETL or ELT (extract, transform, load) processes.
Familiarity with BI tool integration such as Tableau or Looker.Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.Customer-oriented with good communication and interpersonal skills.What you'll receiveWe are dedicated to fostering a family-friendly culture and work environment.
We are an equal opportunities employer and welcome applications from all candidates with the required skills and experience.
We enable fair pay within the company by creating non-discriminatory salary systems.
Working at Lidl & Kaufland Asia is rewarding, in every sense, because we give you the training to succeed in your role and plenty of opportunities to progress your career here.
We are accredited as a Fair and Progressive employer by the Tripartite Alliance for Fair and Progressive Employment Practices (TAFEP).Market Leading Remuneration Package:Annual wage supplement and discretionary bonus.Life Insurance.Medical Insurance.Supportive Environment:Out of Office leave for important appointments.In-house training courses.Training sponsorship scheme.Work-life Balance:5-day week.Competitive Annual Leave.Charity, Community and Sporting Events.If you are not invited for an interview within 4 weeks, we regret that your application was not suited to this vacancy.For more company information, please feel free to visit: http://www.lidl.asiaPersonal data collected will be used for recruitment related purposes only and will be destroyed after 12 months.Location:30 Pasir Panjang Road 12-31/32 Mapletree Business City117440 SingaporeContract Type: Full TimeEntry Level: ExperiencedITReference no: 514465
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