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JOB DESCRIPTION

Big Data Engineer

Role : Big Data Engineer

Experience : 4+ years

Key Skills : Java, Python, R, Hadoop, Spark, Cloudera/MapR/Hortonworks

Role Background

If you aspire to create a big impact with your big data skills, lets meet-up. We work across the value chain of Bigdata and Hadoop eco-system to build and support solutions of new age, you will work with our global customers and expert teams to deliver a unique business value.

Key Responsibilities

Develop, maintain, test and support what the big data solutions architect has designed.

Works on implementing big data projects with a focus on collecting, parsing, managing, analysing and visualizing large sets with different (NoSQL or RDBMS) databases (MongoDB, Cassandra, HBase, Hive, Pig, Impala)

Should be able to design and develop different integration frameworks for structured, semi structured and unstructured data.

Effectively get involved in the solution reviews where MapR Hadoop technologies are used

Interface with SMEs, Big data Solution Architects, Analytics team Product managers and Domain Architects to review to-be developed solution.

Test deliverables for build and data quality and ensure requirements are completely met.

Be a subject matter expert in advanced analytics and an expert in our iDS Data Science bigdata landscape, tool sets and offerings.

Should be a thinker and has the ability to solve problems independently.

Required Skills & Experience

4+ years of relevant experience.

Any ME / M Tech / Be / B Tech with an excellence academic record

Machine Learning & NLP enthusiasts with a good scripting and programming skills and hands-on expertise on Java, Python, R, Hadoop

To be proficient in designing efficient and robust ETL workflows and sound knowledge of various ETL techniques and frameworks, such as Flume

Good experience with Spark, Cloudera/MapR/Hortonworks. Certification will be an advantage

Experience with various messaging systems, such as Kafka or RabbitMQ

Good knowledge in programming / scripting languages -Java, Linux, C++, Python, Ruby

Technologies

Core Java, J2EE, Collections, Scala, Python

Hadoop, HDFS, Spark, Kafka and related Big Data tools,

DB/NoSql – MongoDB, MySql or any No SQL DB.

If you have got it all..
What are you waiting for?

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