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Posted 2mo ago

Data Engineer

@ ING
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Manila, /, Philippines
RemoteFull Time
Responsibilities:Design platform, Architect data, Implement pipelines
Requirements Summary:Proficient in Python; SQL/NoSQL; data warehousing/ETL; cloud platforms (Azure/AWS/GCP); streaming (Kafka/Flink); containers (Docker/Kubernetes); CI/CD; testing; remote collaboration; degree preferred in Computer Science.
Technical Tools Mentioned:Python, SQL, NoSQL, MS SQL/SQL Server, Oracle, Azure, AWS, GCP, Kafka, Flink, S3, Spark, Docker, Kubernetes, CI/CD, Shell
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Job Description

Data Engineer – Data and AI Tribe

Responsibilities

  • Design, architect and maintain secure data platform with focus on optimal data warehousing and modelling, data processing and storage
  • Assess and work with the right infrastructure and data technologies based on stakeholder requirements, ensuring highly available and scalable data capabilities
  • Implement and maintain optimized workflows, ETL / ELT processes, and pipelines
  • Produce visualization and insights on ingested data and be able to communicate results with non-technical stakeholders
  • Work with colleagues such as Product Owner, Data Analysts, Software Engineers, and tech leads on implementing solutions involving end to end data ingestion, storage, and consumption

Qualifications

  • Proficiency and experience in programming languages such as Python
  • Expertise in SQL / RDBMS and NoSQL databases
  • Extensive experience in design and implementation of data warehousing and data handling processes (ingestion, transformation, modelling, and storage). Experience with MS SQL / SQL Server , Oracle Databases
  • Expertise in cloud platforms and technologies. Experience with Azure and its products such is a plus.
  • Expertise in cloud platforms and technologies (Azure, AWS, GCP) is a plus but not required 
  • Experience with streaming platform setup and consumption such as Kafka, Flink 
  • Experience with consumption from other storages for streaming such as S3, Spark 
  • Experience in containers and container orchestration platforms such as Docker and Kubernetes 
  • Experience in CI / CD and Devops, scripting languages such as shell and automation  
  • Experience with software quality and data pipeline testing
  • ETL concepts and tools. 
  • Preferably a degree in the related fields of Computer Science
  • Strong problem solving and solutions engineering mindset
  • Experience in working and coordinating remotely