Xebia Hiring Big Data Engineer

Job Description

  • Creating complex data processing pipelines, as part of diverse, high energy teams
  • Designing scalable implementations of the models developed by our Data Scientists
  • Hands-on programming based on TDD, usually in a pair programming environment
  • Deploying data pipelines in production based on Continuous Delivery practices
  • Advising clients on the usage of different distributed storage and computing technologies from the plethora of options available in the ecosystem

What we look for in you?

  • Strong development experience is a must. Consistent track record for education and professional career.
  • Experience with Apache Spark (required)
  • Experience with Hadoop administration and development (required)
  • Good to have experience with Storm, Kafka, NiFi, Spark Streaming, Spark MLlib, Spark GraphX, Flink, Samza, Map Reduce
  • Familiarity with data loading tools like Flume, Sqoop.
  • Knowledge of workflow/schedulers like Oozie.
  • Proven understanding with Hadoop, HBase, Hive, Pig, and HBase.
  • Good understanding of Object oriented design, Design Patterns
  • Has done development or debugging on Linux/ Unix platforms.
  • Motivation to learn innovative trade of programming, debugging and deploying
  • Self starter, with excellent self-study skills and growth aspirations
  • Excellent written and verbal communication skills. Flexible attitude, perform under pressure.
  • Test driven development, a commitment to quality and a thorough approach to the work.
  • A good team player with ability to meet tight deadlines in a fast-paced environment
  • Suitable qualifications and industry certifications

Skills we’re looking for

  • 4+ years Big Data ecosystem experience along with admin, development, cloud and app integration experience
  • 3+ years Consulting experience
  • 3+ years enterprise projects – customer centricity, optimization, predictive engines, enterprise data hub
  • Experience in Big Data application development involving various data processing techniques Data Ingestion, In-Stream data processing, Batch Analytics
  • Excellent knowledge, experience with the Hadoop stack (Hadoop, Spark, Spark Streaming, H2o.ai, Hbase, Sqoop, Flume, Shark, Oozie, etc.).
  • Solid exposure to Core Java and distributed computing
  • Good understanding of NoSQL platforms like HBase, Couch Base, Vertica, MongoDB, Cassandra
  • Proficient in SQL queries and stored procedures.
  • Proficient in SQL, NoSQL, relational database design and methods for efficiently retrieving data Prior experience with Hadoop, HBase, Hive, Pig and Map/Reduce.


Location: Bangalore