Big Data Solutions Architect

7 days ago

Singapore beBeeData Full time
Senior Big Data Engineer Position
We are seeking a highly skilled and experienced Senior Big Data Engineer to play a key role in designing, developing, and maintaining scalable big data solutions while providing technical leadership and guidance.
  • Design, implement, and optimize robust data pipelines and ETL/ELT workflows using SQL and Python.
  • Lead architecture discussions, including the creation and review of ERDs and overall system design.
  • Collaborate closely with Data Engineers, Analysts, and cross-functional engineering teams to meet evolving data needs.
  • Build synchronous and asynchronous data APIs for downstream systems to consume the data.
  • Deploy and manage infrastructure using Terraform and other Infrastructure-as-Code (IaC) tools.
  • Develop and maintain CI/CD pipelines for deploying data applications and services.
  • Leverage strong experience in AWS services (e.g., S3, Glue, Lambda, RDS, Lake Formation) to support scalable and secure cloud-based data platforms.
  • Handle both batch and real-time data processing effectively.
  • Apply best practices in data modeling and support data privacy and data protection initiatives.
  • Implement and manage data encryption and hashing techniques to secure sensitive information.
  • Ensure adherence to software engineering best practices including version control, automated testing, and deployment standards.
  • Lead performance tuning and troubleshooting for data applications and platforms.

Required Skills & Qualifications

  • Strong proficiency in SQL for data modeling, querying, and transformation.
  • Advanced Python development skills with an emphasis on data engineering use cases.
  • Hands-on experience with Terraform for cloud infrastructure provisioning.
  • Proficiency with CI/CD tools, particularly GitHub Actions.
  • Deep expertise in AWS cloud architecture and services.
  • Demonstrated ability to create and evaluate ERDs and contribute to architectural decisions.
  • Strong communication and leadership skills with experience mentoring engineering teams.

Preferred Qualifications

  • Experience with big data technologies such as Apache Spark, Hive, or Kafka.
  • Familiarity with containerization tools (e.g., Docker) and orchestration platforms (e.g., Kubernetes).
  • Solid understanding of data governance, data quality, and security frameworks.

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