Job Location: Bangalore/Bengaluru
Job description:
- Project Role : Big Data Lead (Scala & Spark)
- Management Level : G140
- Work Experience : 5 to 10
- Notice period required : Immediate to 60 Days
- Work location : Bengaluru
- Professional Attributes : 1) Good communication skills 2) Excellent analytical skills 3) Team player (As per business mandate and role)
- Educational Qualification : 15 years of full time education
– Job Overview
KNOWLEDGE AND EXPERIENCE:
• Responsibilities: 5+ years of development experience in applications development using Scala with 2+ years of experience in Scala.
1. Good knowledge of building Rest APIs using Scala.
2. Container Development and Deployment (Docker/Kubernetes) experience
3. Experience on working within Public/Private Cloud environment (Azure preferred) – Desirable
4. Working experience of event-based orchestration/streaming data processing (kafka)
5. Understanding/knowledge of Hadoop & spark Architecture and its components such as HDFS, Job Tracker, Task Tracker,executor cores and memory params.
6. Event/Application Log management using ELK or similar tools (desirable)
7. Shell Scripting knowledge
8. Experienced in defining end to end architecture involving various components
9.Experience with GIT, Jenkins, test frameworks.
soft skills:
1.Right communication skills to be able to work with Business.
2.Good logical reasoning, analytical abilities.Recommend changes to client software based on information such as client feedback, language changes and new technology.
3.Experience working with remote teams.
4.Excellent Performance and Technical Skills, Attend required training and support peers by sharing knowledge and mentoring.
Agile skills:
1. Experienced in Agile development methodology.
2.Create the required technical tasks in backlog and update status regularly.
3.Participate in all Agile ceremony meetings and update task status and adher to timelines and quality standards for the task.
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TECHNICAL SKILLS:
– Java experience is a plus
– GIT Version control tool knowledge, Jenkins and Scheduling tools Airflow & ESP.
– Azure, Docker, Kubernetes, HDFS, Scala, Spark, Hive, Python, Kafka, Shell Scripting
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