11 Mar

Data Engineer Jobs Vacancy in Dupont Singapore

Position
Data Engineer
Company
Dupont
Location
Singapore S00
Opening
11 Mar, 2019 13 days ago

Dupont Singapore urgently required following position for Data Engineer. Please read this job advertisement carefully before apply. There are some qualifications, experience and skills requirement that the employers require. Does your career history fit these requirements? Ensure you understand the role you are applying for and that it is suited to your skills and qualifications.

Follow the online directions, complete all the necessary fields, and provide all relevant information so your application is submitted correctly. When you click the 'Apply this Job' button (open in new window) you will be taken to the online application form. Here you will be asked to provide personal and contact details, respond to employment-related questions, and show how you meet the key selection criteria.

Data Engineer Jobs Vacancy in Dupont Singapore Jobs Details:

ABOUT THE ROLE:

We are looking for a savvy Data Engineer to who will be part of a Digital Centre of Excellence, a new team being set up in Corteva Agriscience™, Singapore Office. This team will pioneer the Digital Transformation initiative for our product, sales, leadership and marketing teams with insights gained from analyzing company data. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoy optimizing data systems and building them from the ground up. The data engineer will support our software developers, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.


KEY RESPONSIBILITIES:
  • Create and maintain optimal data pipeline architecture.
  • Maintain data security, integrity and operations of systems over their life-cycle.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • 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.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Job Qualifications

REQUIREMENTS:
  • 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
  • C++/C#: high-performance language is at the heart of our data engineering operation. Parallelizing computations and developing distributed systems using C++ enables us to take full advantage of working with big data
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Big Data tools: Hadoop, Spark, Kafka etc.
  • Experience in using R for speed when taking strategies from the exploration to production and using the data.table package.
  • Using Python for automated data manipulation.
GENERAL SKILLS AND RELEVANT EXPERIENCE:
  • Experience with relational SQL and NoSQL databases, including Postgres, Neo4j and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Meticulous and resourceful with good planning and organizational skills, along with creative and analytical thinking skills
  • 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.
  • Good interpersonal and strong communication skills (written and oral) in English



About DowDuPont

DowDuPont (NYSE: DWDP) is a holding company comprised of The Dow Chemical Company and DuPont with the intent to form strong, independent, publicly traded companies in agriculture, materials science and specialty products sectors that will lead their respective industries through productive, science-based innovation to meet the needs of customers and help solve global challenges. For more information, please visit us at www.dow-dupont.com.

The positions represented by this job posting are aligned to one of the three divisions, Agriculture, Materials Science or Specialty Products, which are expected to separate from DowDuPont into stand-alone public companies. Information on the division alignment will be provided during the recruitment process.


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