Hadoop Python and Informatica Developer

Job Description

Hands on experience in Hadoop, Informatica development, 4+ years of expertise in Big data technology stack (We required candidates with all 3 combination) - Serve as the first point of contact for customers seeking technical assistance over the phone or email or ITIL Tool - Has knowledge of the next generation technologies - Should have an understanding of Big Data Ecosystem and various relevant technologies and across: a) data processing frameworks Spark, as well as related tools like Informatica,Talend, Pentaho, Nifi b) data transfer frameworks such as Kafka, Flume, Sqoop; c) data storage such as HDFS and NoSQL data stores d) programming languages such as Scala, Java or Python e) architectural understanding of Hadoop, and the relevant tooling from major Hadoop distribution vendors like Cloudera, Hortonworks f) data warehousing and SQL frameworks - Hive, Impala - Has experience on multiple Big data projects such as Data Lake implementation, EDW augmentation/ETL off-loading, NoSQL based real time data store - Architects solutions by mapping customer business problems to end-to-end technology solutions, seeks out accountability and takes the lead when required - Demonstrates consulting skill with effective communication and engagement with customers (internal and external) - Should be able to drive the architectural detailing of a solution covering functional as well as non-functional requirements such as security, performance and availability aspects. Should be able to clearly provide pros and cons of relevant approaches and technologies as applicable - Demonstrates effectiveness in fostering executive level relationships - Is resourceful, confident under pressure, and has demonstrated skill in both expectation and crisis management - Open source contributions to Big data space as a nice to have attribute - Strong ITIL experience and Service delivery mindset g) Requirement gathering and solution design