Data Engineer (Data & Systems Engineering)

On-site

Posted about 2 years ago

Software Engineering

AI summary

The Data Engineer will enhance and optimize data flow between systems, refining data pipeline architecture and collaborating with cross-functional teams to develop scalable data solutions.

Eligible from: US and Canada

Job Description

We are seeking a Data Engineer to join our Data & Systems Engineering team. In this role, you will be responsible for enhancing and optimizing the data flow between our systems and refining our data pipeline architecture. You will collaborate closely with cross-functional teams to gather requirements, design scalable solutions, and implement cutting-edge data products. The ideal candidate is passionate about driving the development of our next generation of data initiatives.

Responsibilities

Key Responsibilities

Develop and maintain robust data pipelines for extracting, transforming, and loading data from diverse sources.

Identify, design, and implement process improvements, including automation of manual processes, optimization of data delivery, and design of scalable infrastructure.

Gather and analyze telemetry data to provide actionable insights, enhancing the efficiency of data systems and key business performance metrics.

Considerations for senior positions

Candidates with at least 5 years of proven track record in data engineering development.

Experience in technical coaching to junior data engineers.

Requirements

Minimum Requirements

A degree or professional qualification in Computer Science, Computer Engineering, Information Systems, or a related field.

A minimum of 2 years of hands-on experience with object-oriented programming languages such as Python, Golang, Java, or C++. (Project/internship experience will be considered for recent graduates.)

Proficiency with both relational SQL and NoSQL databases.

Experience in building ETL flows using tools such as NiFi or Airflow.

Familiarity with microservices architecture and RESTful API design.

Preferred Qualifications

Experience with software development in Agile SCRUM environments, including testing and production error/metrics monitoring.

Expertise in building scalable, fault-tolerant, and maintainable data pipelines.

Proficiency in big data tools such as Hadoop, Spark, and Kafka.

Experience with search engines like Elasticsearch or Solr.

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About the job

Posted on: Aug 15, 2024
Job type: Full-time
Location: Singapore, SingaporeOn-site

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Data Engineer (Data & Systems Engineering)

AI summary

Job Description

Responsibilities

Key Responsibilities

Considerations for senior positions

Requirements

Minimum Requirements

Preferred Qualifications

Ready to Apply?

About the job

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