Responsibilities

• Play a developer role
• 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
• Participate in Agile Scrum activities: daily standup, demo session, retrospective, planning, etc

Requirements

• Polytechnic Diploma or above in Computer Science
• Minimum 3 years of experience in software engineering and Big Data
• 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:
  • Spark, Spark Streaming, Kafka/ Kafka Streams, Hadoop, Yarn, HDFS, Hive, Airflow, Jupyter
  • Parquet, ORC, AVRO, CarbonData
  • Lambda, Kappa, Data Lake
  • NoSQL Data Bases
  • Data platform
  • 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
• 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

We offer

• Friendly team and enjoyable working environment
• Work-life balance and flexible schedule
• Online training library, mentoring, career development and potential partial grant of certification
• Unlimited access to LinkedIn learning solutions
• Referral bonuses
• Compensation for sick leave and paid time off
• Opportunities for self-realization