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Data Engineer

Position Type Permanent
No. of opening(s) 1
Location Singapore
Posted 15-December-2021
An exciting opportunity for Data Engineer to be a part of a project for strategic initiatives in architecting, designing and building next-generation data warehouse from scratch for digitalization.
Skill-set Requirement
  • Bachelor's Degree in Data Engineering, Computer Science, Information Technology;;
  • At least 5 years of experience in data engineering and modelling;
  • Strong hands-on exposure in data science, data analytics and / or data engineering;
  • Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
  • Experience in creating data model (relational and/or data warehouse), data mart design and implementation;
  • Strong knowledge in various database technologies (RDBMS, NoSQL and columnar);
  • Strong hands-on exposure with ETL Extract, Transform, Load tools;
  • Should have good understanding & knowledge of data extraction & data masking tools & techniques;
  • 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;
  • Should have learning aptitude and attitude;

Desirable Skills
  • Experience in Tableau;
  • Experience with Big data, data lake & Cloud;
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Job Responsibilities
  • Work closely with the Lead Data Engineer in architecting, designing and building next-generation data warehouse from scratch;
  • Involved in architecting and scaling data analytics infrastructure on cloud environment; development of systems, architectures, and platforms that can scale large volume and variety;
  • Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products;
  • Engagement and collaboration with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools;
  • Involved in managing production services that provide analytics capabilities to our various data users across the division.
Role Compatibility
Data Warehousing, Database Management, Infrastructure/Network Management, IT Operations Management, Storage Management
Level Compatibility
Analyst, System Administrator, System Architect, Technical Consultant

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Company Details

Sciente International Pte Ltd
Sciente International Pte Ltd

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