Job Requirements
Skills
Job benefits
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Free food & beverages
Avoid wasting time and energy to buy food at the restaurant or hawker center by yourself. We'll provide the best food for you and your team. Make better use of your valuable time to rest, bond, and do other things that matter to you.
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Medical insurance
To ensure your health and wellbeing, you have various medical plans to choose from depending on your situation and unique needs. From partial up to full medical coverage, we got you covered.
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Vacation & Leaves
Feel a need for a short break from work? our company is quite flexible when it comes to leaves; be it for vacation, sick, personal, or mental health days. Simply discuss what you need and we will try to cater to those.
Job description for Backend - Data Warehouse at Pt. Teknologi Rancang Olah Nusantara
- Create technical solutions and design for Data Warehouse
- Define overall ETL architecture including key designs on integration standards such as loading, real time/batch, CDC, data validation, parallelization etc
- Perform analysis and capacity planning to define ‘best in class’ solutions
- Work with management to align solutions and data integration with business strategy and objectives
- Apply broad in depth business and technical knowledge advance technical direction
- In a direct role as a designer and/or ETL/ELT
- Create complex technical solutions and design utilizing GCP Dataflow/Airflow, BigQuery and/or other technologies
- Lead technical discussions impacting solutions and data integration technology
- Engage with partners in testing, release management, and operations to ensure quality of code development, deployment and post-production support
- Provide documentation (Data Mapping, Technical Specifications, Production Support, data dictionaries, test cases, etc.) for all projects
- Solid experience in managing cloud services (preferbaly GCP or other cloud solution providers such as AWS, Azure, or AliCloud)
- At least 5 year(s) of working experience in the related field is required for this position
- Experienced with a diverse set of data technologies: Airflow, Dataflow, BigQuery, Dataproc, Redshift, Elasticsearch, PostgreSQL, Spark, Hadoop, Kubernetes, etc. Strong knowledge in ETL is a must
- Fluency in Python, SQL, Java or equivalent
- Understanding of SQL & NoSQL databases and other manipulation tools
- Ability to work with stream-processing systems i.e. Spark
- Solid communication skills; ability to switch between technical and business language
- Analytical, innovative and entrepreneurial thinker in a fast-paced agile environment
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