Hadoop Developer<ul><li>Hadoop, MapReduce, HDFS, stream-processing systems, using solutions such as Storm or Spark-Streaming, Kafka</li><li>Big Data querying tools, such as Pig, Hive, and Impala</li><li>ETL techniques and framework such as Flume, Sqoop</li><li>BigInsights/Cloudera/Hortonworks distributions</li><li>Experience working in Cloud-based implementations like AWS/Azure/ GCP (Google Cloud Platform)</li></ul>Good-to-Have Knowledge of: <ul><li>Java</li><li>RDBMS </li><li>Agile</li></ul>

Local candidates who can take up F2F discussion in week days

Immediate or max 30days, cant consider candidates whose notice period is 60days which is nego for 30days

5+yrs of experience in Hadoop development

Experience working in Cloud-based implementations like AWS/Azure/ GCP (Google Cloud Platform)

IT support

Fast Lane India is mirrored and driven by the same ethics and enthusiasm that have been employed for over 27 years by the parent company in the UK. The name Fast Lane is actually borrowed from the holding company which has proven so successful in the past. We are lead by the vision and the spirit of each one of its team members, for whom no idea is too big and no problem too difficult. With untiring innovation and determination, we are proactively using our vast knowledge and experience to offer a diverse range of solutions, with a variety of online and offline products and services. We are using our in house developments and also working with some of the best solutions providers in the world to create new openings for products and services in India. We have the benefit of vast experience of operating our own businesses in Europe and also have links to some of brightest thinkers in UK industry &amp; universities. Our capabilities are as diverse as our clients-we offer solutions that are straightforward and cost-effective. Our success is based on making a success for our strategic stakeholders. Always keeping an open mind, we welcome new ideas and openings, and find out why we are so successful in creating mutually beneficial and advantageous alliances.

Senior Hadoop developer

Job description