Senior Consultant (Bigdata / Hadoop Components & platform)

Hortonworks; Bengaluru; On-site; INR 700,000 - 1,000,000; Full time

Job summary

Hortonworks is looking for a Senior Consultant to join its professional services team in Bengaluru, India. This role involves designing and implementing scalable BigData solutions using Hadoop and Spark, directly engaging with clients and providing support across the Asia Pacific region.

The ideal candidate will have a Bachelor’s degree in Software Engineering or related discipline and demonstrable programming experience. The position offers mentoring and training opportunities in a dynamic environment.

Qualifications

• Strong theoretical knowledge of big data/analytics concepts.
• Experience with NoSQL data technology.
• Experience in any cloud environment (AWS, Azure, Google Cloud).

Responsibilities

• Design and build BigData solutions on Hadoop.
• Implement BigData solutions at scale using Hortonworks Data Platform.
• Write technical documentation and knowledgebase articles.

Skills

Aptitude for learning new skills and technology quickly

Analytical and problem solving abilities

Strong communication, consulting, and presentation skills

Java, C++, Python, and/or R development

Education

Bachelor of Software Engineering / IT / Computer Science or related discipline

Tools

Hadoop

Spark

Apache technologies

Job description

Senior Consultant (Bigdata / Hadoop Components & platform)

Hortonworks is an industry leading innovator that creates, distributes and supports enterprise-ready open data platforms and modern data applications that deliver actionable intelligence from all data: data-in-motion and data-at-rest. Hortonworks is focused on driving innovation in open source communities such as Apache Hadoop, NiFi, and Spark. Along with its 1,600+ partners, Hortonworks provides the expertise, training, and services that allow customers to unlock transformational value for their organizations across any line of business.

Hortonworks is seeking an Associate BigData Developer to join its professional services team in APAC. In this role you’ll have the opportunity to develop massively scalable solutions to solve complex data problems using Hadoop, Spark and related BigData technology. This role is a client facing opportunity that combines consulting skills with deep technical design and development in the BigData space.

This is a great opportunity for a junior software developer looking to gain experience in the BigData stack, as you will be provided with mentoring, training, and the opportunity to work with large customers across Asia Pacific.

Responsibilities

• Work closely with Hortonworks’ Architects to design and build BigData solutions on Hadoop
• Work directly with customers to implement BigData solutions at scale using the Hortonworks Data Platform and Hortonworks Dataflow
• Help design and implement Hadoop platform architectures and configurations for customers
• Work closely with Hortonworks’ teams at all levels to help ensure the success of project consulting engagements with customers
• Write and produce technical documentation, knowledgebase articles
• Attend speaking engagements when needed
• Keep current with the Hadoop BigData ecosystem technologies
• Travel up to 75%

Qualifications

• Aptitude for learning new skills and technology quickly
• Demonstrable programming experience (in any language)
• Strong analytical and problem solving abilities
• Theoretical knowledge of big data/ analytics concepts
• Strong communication, consulting, and presentation skills
• Bachelor of Software Engineering / IT / Computer Science or related discipline (Honors/Masters/PHD a plus)
• Hands on development experience with Apache technologies such as Hadoop, Spark, Hbase, Hive, Pig, Storm, Solr, Phoenix, Accumulo, Falcon, Sqoop, Flume, Kafka, Oozie
• Experience with open-source software
• Experience setting up multi-node Hadoop clusters
• Java, C++, Python, and/or R development
• Experience with NoSQL data technology
• Experience in any cloud environment (AWS, Azure, Google Cloud, SoftLayer, OpenStack)
• Understanding of various enterprise security solutions (LDAP and/or Kerberos)
• Understanding of Networking concepts
• Understanding of Site Reliability Engineering concepts and practices
• Experience with distributed systems, machine learning or artificial intelligence algorithms
• Ability to understand big data use cases, and recommend standard design patterns commonly used in Hadoop-based deployments
• Knowledge of the data management eco-system including: Concepts of datawarehousing, ETL, data integration, data engineering etc.