Lead Software Engineer (Big Data) Lead Software Engineer (Big Data) …

EPAM Systems (Hong Kong) Limited
à Singapour, Singapore, Singapour
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive Package
EPAM Systems (Hong Kong) Limited
à Singapour, Singapore, Singapour
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive Package
To play a lead developer role and run the scrum team for the project.

Responsibilities                                                       

  • Play a lead developer role and run the scrum team
  • Write high quality and testable code following clean code principles
  • Implement functionality by following defined software development process without direct supervision
  • Read and understand project and requirement documentation
  • Create documentation describing his/her code
  • Must be a role model for colleagues; creates deliverables in high quality
  • Participate in Agile Scrum activities: daily standup, demo session, retrospective, planning, etc.

Requirements

  • Polytechnic Diploma or above in Computer Science
  • At least 7 years of relevant experience; experience working with a variety of information systems and data files, including large and complex files; ability to interpret and report results of analyses, provide business recommendations; ability to coach and train others.
  • Has expert level of software development and data analysis/quality concepts. Able to define, follow, actively influence and enhance a data quality verification process
  • Advanced knowledge at least one programming language such as Java, Python, Scala
  • Familiar with SQL, Bash
  • Experienced in any of big data technologies and frameworks below:
  1. Spark, Spark Streaming, Kafka/ Kafka Streams, Hadoop, Yarn, HDFS, Hive, Airflow, Jupyter
  2. Parquet, ORC, AVRO, CarbonData
  3. Lambda, Kappa, Data Lake
  4. NoSQL Data Bases
  5. Data platform
  6. Machine learning
  • Software Professional with experience in IT mostly with JVM based technologies and frameworks
  • Has background with different platforms and strong focus on back-ends / Big Data / Analytics Solutions
  • Core professional expertise includes: Platform Architecture, Data Pipelines Architecture, Infrastructure Deployment and Management
  • Able to support existing and potential customers with requirements capture, solutions architecture, system design, solution prototyping
  • Expected to lead meetings/phone conferences with clients and senior-level client contacts; be involved into customer workshops and presentations; supervise junior staff in client meetings and presentations; visit customers without supervision
  • Experience with building traditional Cloud Data Warehouses, Data Lakes. Close and intensive work on previous projects with Containers and Resource Management systems: Docker, Kubernetes, Yarn.
  • Designed, prototype and adjust end to end solution
  • Designed and implemented set of ingestion workflow to parse, transform and validate input data
  • Designed and developed independent CI/CD pipelines
  • Provided technical guidance for the support team
  • Participated in communication with customer on every phase
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