- Design, architect, and maintain secure data platforms, setting up storage solutions such as SQL databases.
- Implement and workflows, ETL/ELT processes, and pipelines.
- Design batch and stream data use cases.
- Ensure traceability and reproducibility by enabling data lineage features for ingested data.
- Collaborate with colleagues to implement data solutions on distributed systems and platforms. The Successful Applicant
5+ years of experience.
Proficient in: - Programming languages such as Python and Golang (preferred)
- Setting up SQL/RDBMS. Setting up NoSQL databases (preferred)
- Data handling processes and pipelines (ingestion, transformation, modelling, and storage) using Python, Apache Airflow, Spark
Nice-to-have: - Experience in cloud platforms and technologies (Azure, AWS, GCP)
Has an experience in: - Cloud platforms and technologies (Azure, AWS, GCP)
- Streaming platform setup and consumption (Kafka, Flink)
- Consumption from other storages for streaming (S3, Spark)
- Containers and container orchestration platforms (Docker, Kubernetes)
- Experience in CI/CD and Devops, scripting languages (shell and automation) What's on Offer
- Have the opportunity to to be a part of one of the most innovative global banks.
- Have access to the latest technology, keeping your professional development continuous
- Energetic working environment
- Hybrid work set-up (once a week RTO)
- Flexible working hours
- Competitive compensation package
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Data Engineer - Taguig, Pilipinas - Michael Page Philippines
Paglalarawan
About Our Client
The client is a leading global bank and is a pioneer in digital banking. Recognized as one of the most innovative banks globally, they are expanding their technology team and establishing their main IT hub in the Philippines.
Job Description
