Big Data Engineer

4 - 10 years

0 Lacs

Pune, Maharashtra, India

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

data engineering software development coding java debugging tuning hadoop hive kafka hibernate rest spark technology test agile communication coordination unix integration architecture design scala apache sql

Work Mode

On-site

Job Type

Full Time

Job Description

Ob Title/Designation Mid / Senior Big Data Engineer Job Description Role: Big Data Engineer Number 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 Skills:- Big Data, Java, Spark, Hibernate (Java), Hadoop, Apache Kafka, Real time media streaming, Apache Hive, SQL and Apache HBase Show more Show less

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