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Data Engineer for Cloud Platforms

3 weeks ago

Singapore beBeeDataArchitecture Full time $90,000 - $120,000

Job Title: Data Architecture Specialist

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About the Role:

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The company is seeking a skilled Data Architecture Specialist to design, build, and maintain scalable data pipelines and data infrastructure in the AWS cloud environment.

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This role requires expertise in AWS services, data modeling, ETL processes, and a keen understanding of best practices for data management and governance.

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Main Responsibilities:

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- Design, build, and operationalize large-scale enterprise data solutions and applications using AWS data and analytics services in combination with third-party tools – including Spark/Python on Glue, Redshift, S3, Athena, RDS-PostgreSQL, Airflow, Lambda, DMS, Code Commit, Code Pipeline, Code Build, etc.

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- Design and build production ETL data pipelines from ingestion to consumption within a big data architecture, using DMS, DataSync, and Glue.

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- Understand existing applications (including on-premise Cloudera Data Lake) and infrastructure architecture.

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- Analyze, re-architect, and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS or third-party services.

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- Design and implement data engineering, ingestion, and curation functions on AWS cloud using native AWS services or custom programming.

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- Perform detailed assessments of current data platforms and create transition plans to AWS cloud.

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- Collaborate with development, infrastructure, and data center teams to define Continuous Integration and Continuous Delivery processes following industry standards.

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Mandatory Skills and Qualifications:

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- Bachelor's Degree in Computer Science, Information Technology, or related fields.

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- 5+ years of experience with ETL, Data Modeling, Data Architecture to build Data Lakes.

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- Proficient in ETL optimization, designing, coding, and tuning big data processes using PySpark.

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- 3+ years of extensive experience working on AWS platform using core services like AWS Athena, Glue PySpark, Redshift, RDS-PostgreSQL, S3, and Airflow for orchestration.

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Preferred Skills:

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- Fundamentals of the Insurance domain.

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- Functional knowledge of IFRS17.

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- Understanding of 14 days AL (Accumulated Leave).

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- Knowledge of company insurance benefits.