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Big Data Engineer

Taruna Roy's profile picture
Posted by Taruna Roy
3 - 8 yrs
₹4L - ₹15L / yr
Remote, Pune
Skills
Big Data
Hadoop
skill iconJava
Spark
Hibernate (Java)
Apache Kafka
Real time media streaming
Apache Hive
SQL
Apache HBase
ob Title/Designation:
Mid / Senior Big Data Engineer
Job 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 years
Keywords: java, scala, spark, software development, hadoop, hive
Locations: Pune
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Subodh Popalwar

Software Engineer, Memorres
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About Clairvoyant India Private Limited

Founded :
2014
Type :
Services
Size :
100-1000
Stage :
Profitable
About
Clairvoyant is a global technology consulting and services company. We help organizations build innovative products and solutions using big data, analytics, and the cloud. We provide the best-in-class solutions and services that leverage big data and continually exceed client expectations. Our deep vertical knowledge combined with expertise on multiple, enterprise-grade big data platforms helps support purpose-built solutions to meet our client’s business needs. Our global team consists of experienced professionals, with backgrounds in design, software engineering, analytics, and data science. Each member of our team is highly energetic and committed to helping our clients achieve their goals.
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Please visit http://www.meritnation.com/">www.meritnation.com to know more about the Company.

 

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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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