Dow Technologies and Systems – Data Engineer

Company
Dow Technologies and Systems
dowtechie.com
Designation
Data Engineer
Date Listed
02 Dec 2019
Job Type
Experienced / Senior Executive
Full/Perm
Job Period
Immediate Start, Permanent
Location Name
Singapore
Allowance / Remuneration
$6,000 monthly
Profession
Information Technology
Industry
Computer and IT
Company Profile

DowTechie is human centric company. Our people are highly skillful, insights and deep industry experience as needed to shape client requirement. Our main focus on technologies related to digital disruption, competitive agility, operating and business model, as well as the future workforce, helps our clients find future value and growth in a digital world. We offer highly objective points of view with emphasis on business, technology and analytics, leveraging our deep industry experience. That’s high performance, delivered.

Job Description

We are looking for a Data Engineer for expanding and optimizing our data and data architecture, as well as optimizing data flow and collection for cross functional teams.

Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. 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 AWS ‘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 AWS regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems.

Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. 5+ years of experience. Advanced knowledge of Python and SQL. Proficiency in Javascript, React and other web technologies. Experience with AWS services. Experience with distributed computation tools such as Apache Spark. Comfortable in a Linux environment. Financial domain knowledge is a plus.

This position is already closed and no longer available.  You may like to view the other latest internships here.

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