Data Engineer

3 weeks ago

Singapur, Singapore Epergne Solutions Full time

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Qualifications
  • Python : Proven expertise in leveraging Python for data manipulation, scripting, and the development of robust data-driven applications.
  • PySpark : In-depth experience in building and optimizing scalable data processing workflows using PySpark for distributed data transformation.
  • SQL : Strong command of SQL with the ability to craft complex queries, perform performance tuning, and design efficient relational databases.
  • AWS : Practical experience in architecting, deploying, and maintaining data solutions on AWS platforms such as S3 , EMR , Glue , Lambda , and more.
  • Data Engineering : Comprehensive understanding of data warehousing architectures, ETL/ELT strategies, and best practices in designing resilient data pipelines.
  • Professional Skills : Demonstrated strength in analytical thinking, problem-solving, and clear communication. Capable of working independently as well as in a collaborative team setting.
Preferred skills
  • Airflow : Hands-on experience in orchestrating, scheduling, and monitoring data workflows using Apache Airflow.
  • Snowflake : Working knowledge of Snowflake’s cloud data warehousing features and its use in analytical processing.
  • Version Control : Proficient in using Git-based version control systems such as Bitbucket for collaborative code management and CI/CD workflows.
Job details
  • Seniority level : Mid-Senior level
  • Employment type : Full-time
  • Job function : Information Technology
  • Industries : IT Services and IT Consulting

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