Data Engineer
Date Submitted: 24-12-2020 | End date: 24-1-2021
| Industry Specialization | : | |
| Type of Employment | : | Permanent |
| Minimum Experience | : | 4 years |
| Work Location | : | West Singapore |
Job Description:
- Create and maintain optimal data pipeline architecture,
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and regions
- Work with data and analytics experts to strive for greater functionality in our data systems
Requirements:
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 4+ years of experience in a Data Engineer role, who has attained a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, Apache BEAM
- Experience with relational SQL and NoSQL databases, including MySQL, Google Cloud Bigtable.
- Experience with data pipeline and workflow management tools: Google Cloud Dataflow
- Experience with cloud services: GCP / AWS
- Experience with stream-processing systems: Spark-Streaming, Apache BEAM etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Experience with Machine Learning for time-series IoT data with RNNs
- Experience with industrial hardware protocols, e.g. RS-232, RS-485, Profinet/ Profibus, Modbus etc.