Persyaratan
Skills
Tunjangan dan keuntungan
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Asuransi kesehatan
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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Acara team-building
Our company simply cannot function well without teams of people working together. That said, we provide numerous team-building activities and events for you and your team to nurture meaningful relationships between every individual.
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Pengembangan profesional
Every employee is an invaluable asset to any team; that's why we want to help you grow. Level up your skills and expertise through our professional co-development programs with notable organizations. We will cover the cost.
Deskripsi pekerjaan Data Engineer PT Sigma Global Teknologi
- Max 30 years old.
- Bachelor Degree from Information Technology / Computer Science
- Min 1-3 year of experience using SPARK, PYTHON, AIRFLOW
- Min 1-3 year of experience using and managing MySQL solutions including performance tuning
- Experience building data pipelines in cloud environments (GCP, AWS, Azure)
- Experience in integrating 3rd party REST APIs in an efficient manner
- Experience combining data from various sources (S3, Database, API, Pub/Sub) and formats (SQL, Excel, CSV, JSON, Parquet, etc.)
- Experience working with CI/CD
- Experience using containers (Docker, k8s)
- Experience using serverless infrastructure (SQS, Pub/Sub, lambda, cloud functions, etc.)
- Nice to have: Apache NiFi, ELK, BigQuery, Apache Kafka
- Act as a link between Technology and Data Analytics Team by translating analytical requirements into secured and performant technical solutions
- Make sure that data is secure in the transport and at rest
- Build, maintain and scale efficient data infrastructure / EDW, ETL and reporting pipelines
- Develop and maintain the data platform, business intelligence, and experimentation toolsAutomate repeatable tasks and reports generation
- Help acquire, build, maintain, filter, and “clean” data, specifically related to BANKING products data from various systems and sources
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