Cloud Native Data Architect

19 hours ago


Singapore beBeeData Full time $100,000 - $150,000
Senior Data Engineer Position Overview

At PALO IT, we are committed to creating a better future for our planet. As a Senior Data Engineer, you will play a vital role in shaping the future of data engineering by designing and implementing scalable cloud-native data pipelines that handle ingestion, transformation, quality assurance, enrichment, and advanced analytics use cases across multiple industries.

  • Develop cutting-edge data solutions using AWS and GCP platforms.
  • Lead the migration of existing on-premises and hybrid workloads into cloud-native services.
  • Design reusable data frameworks for ingestion, quality monitoring, and transformations.
  • Implement robust error handling, recovery mechanisms, and observability into pipelines.
  • Collaborate with Data Scientists and Architects to enable predictive/GenAI use cases.
Key Responsibilities
  1. Cloud-Native Pipeline Design: Design and implement scalable ETL/ELT pipelines on AWS and GCP.
  2. Migrate On-Premises Workloads: Migrate existing on-premises and hybrid workloads into cloud-native services.
  3. Data Framework Development: Build reusable data frameworks for ingestion, quality monitoring, and transformations.
  4. Error Handling and Observability: Implement robust error handling, recovery mechanisms, and observability into pipelines.
  5. Collaboration and Partnership: Partner with Data Scientists and Architects to enable predictive/GenAI use cases.
Requirements
  • 7+ years in data engineering with end-to-end pipeline design and implementation experience.
  • Strong expertise in AWS and GCP, including S3, Glue, Lambda, Step Functions, EMR, Athena, Fargate, AWS Batch, BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Functions.
  • Proficiency in Python and SQL development skills.
  • Orchestration tool expertise, such as Airflow or Cloud Composer.
  • Shell scripting (Linux) and familiarity with data formats (Parquet, ORC, JSON, Avro).
Preferred Qualifications
  • Experience integrating AWS and GCP cross-cloud pipelines.
  • Knowledge of containerization (Docker, Kubernetes, GKE/EKS).
  • Domain knowledge in Financial Services, Healthcare, Maritime, or Retail.
Benefits
  • Stimulating working environments.
  • Unique career path.
  • International mobility.
  • Internal R&D projects.
  • Knowledge sharing.
  • Personalized training.
Equality and Diversity

PALO IT is an equal opportunity employer. We do not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status, or any other characteristics protected by law.



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