Big Data Engineer

Posted 12 months ago
Pune, Maharashtra (+1 other)
Application deadline closed.

Job Description

Big Data Engineer

Clairvoyant India Private Limited

Pune, Maharashtra (+1 other)

Experience- 3 – 8 years of experience
Skills Required- Big Data, Java, Spark, Hibernate (Java), Hadoop, Apache Kafka, Real time media streaming, Apache Hive, SQL, Apache HBase
Company Domain- bigdata
ob Title/Designation:Mid / Senior Big Data EngineerJob Description:Role: Big Data EngineerNumber of open positions: 5Location: PuneAt Clairvoyant, we’re building a thriving big data practice to help enterprises enable and accelerate the adoption of Big data and cloud services. In the big data space, we lead and serve as innovators, troubleshooters, and enablers. Big data practice at Clairvoyant, focuses on solving our customer’s business problems by delivering products designed with best in class engineering practices and a commitment to keep the total cost of ownership to a minimum.Must Have:

4-10 years of experience in software development.
At least 2 years of relevant work experience on large scale Data applications.
Strong coding experience in Java is mandatory
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
o Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
o Kafka
o J2EE Frameworks (Spring/Hibernate/REST)
o Spark Streaming or any other streaming technology.
Strong coding experience in Java is mandatory
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.Experience: 4 to 9 yearsKeywords: java, scala, spark, software development, hadoop, hiveLocations: Pune