Senior Project Manager - Software

eClerx Digital

Pune, IN

1d ago

Job Requirements :

We are looking for the candidates with the following :

A minimum of 5 years’ experience in technology or a similar role

2+ years’ experience deploying data models in a production setting

Experience in Java, Python, R or Scala. (Production level coding)

Capability to architect highly scalable distributed data pipelines using open source tools and big data technologies such as Hadoop, HBase, Spark, Storm, ELK, etc.

Experience of designing scalable solutions with proficiency in use of data structures and algorithms

Experience in cloud-based environment with PaaS & IaaS

Work iteratively in a team with continuous collaboration

Job Responsibilities :

End-to-end module ownership including architecture, design, execution and management of a large and complex distributed data systems

Monitoring performance and optimizing existing projects

Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities

Understanding Business / Data requirements and implementing scalable solutions

Skillset :

Experience with Big Data technologies, assisting clients in building software solutions that are distributed, highly scalable and across multiple data centers

Hands on experience in architecting Big Data applications using Hadoop technologies such as Spark, MapReduce, YARN, HDFS, Hive, Impala, Pig, Sqoop, Oozie, HBase, Elasticsearch, Cassandra.

Experience working with Business Intelligence teams, Data Integration developers, Data Scientists, Analysts and DBA’s to deliver well-architected and scalable Big Data & Analytics eco-system

Experience working with NoSQL databases and search engines such as MongoDB, Cassandra, Elasticsearch

Experience using Neo4J or understanding of graph databases

Strong Experience with event stream processing technologies such as Spark streaming, Storm, Akka, Kafka

Experience with at least one programming language (Java, Scala, Python)

Extensive experience with at least one major Hadoop platform (Cloudera, Hortonworks, MapR)

Proven track record of architecting Distributed Solutions dealing with real high volume of data(petabytes)

Strong troubleshooting and performance tuning skills.

Experience with SQL

Deep understanding of cloud computing infrastructure and platforms.

Good understanding of Big data design patterns

Ability to analyze business requirement user stories and model it to domain based services

Experience working under agile delivery methodology

You will need to have : (Core Competencies)

HDFS, MapReduce, YARN, Pig, Hive, Sqoop, HBase, Spark, Zookeeper, Oozie, Flume

Spark, Spark Streaming

Storm

No SQL MongoDB, Cassandra, Neo4J

Tableau, QlickView

Kafka, Elastic Search

Understanding of Machine Learning Frameworks is a plus

Report this job

Thank you for reporting this job!

Your feedback will help us improve the quality of our services.