Big Data Engineer - Java/Spark/J2EE (4-8 yrs) (Hiring Comrades)

Notice Period : 15 Days to 30 Days (only)

CTC: Best in Industry

Must Have:

- 4-8 years of experience in software development.

- At least 2 years of relevant work experience on large scale Data applications

- Good aptitude, strong problem solving abilities, and analytical skills, ability to take ownership as appropriate

- Should be able to do coding, debugging, performance tuning and deploying the apps to Prod.

- Should have good working experience on

- Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)

- Kafka

- J2EE Frameworks (Spring/Hibernate/REST)

- Spark Streaming or any other streaming technology.

- Java programming language is mandatory.

- Good to have experience on Python or Java

- Ability to work on the sprint stories to completion along with Unit test case coverage.

- Experience working in Agile Methodology

- Excellent communication and coordination skills

- Knowledgeable (and preferred hands on) - UNIX environments, different continuous integration tools.

- Must be able to integrate quickly into the team and work independently towards team goals

Role & Responsibilities:

- Take the complete responsibility of the sprint stories' execution

- Be accountable for the delivery of the tasks in the defined timelines with good quality.

- Follow the processes for project execution and delivery.

- Follow agile methodology

- Work with the team lead closely and contribute to the smooth delivery of the project.

- Understand/define the architecture and discuss the pros-cons of the same with the team

- Involve in the brainstorming sessions and suggest improvements in the architecture/design.

- Work with other team leads to get the architecture/design reviewed.

- Work with the clients and counter-parts (in US) of the project.

- Keep all the stakeholders updated about the project/task status/risks/issues if there are any.

Education: BE/B.Tech from reputed institute.

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