Bigdata Developer

Data Engineer Position

Experience of designing, building, and deploying production-level data pipelines using tools from Hadoop stack (HDFS, Hive, Spark, HBase, Kafka, NiFi, Oozie, Splunk etc).

Experience with various noSQL databases (Hive, MongoDB, Couchbase, Cassandra, Neo4j).

Experience with analytic or feature engineer programming (python or scala or java).

Experience implementing open source frameworks & exposure to various open source & package software architectures (AngularJS, ReactJS, Node, Elasticsearch, Spark, Scala, Splunk, Apigee, and Jenkins etc.).

Experience troubleshooting JVM-related issues.

Experience with SQL databases and Change Data Capture.

Experience and strategies to deal with mutable data in Hadoop.

Experience with Stream sets.

Experience of Agile and DevOps methodologies.

Relies on limited experience and judgment to plan and accomplish goals.

Works under general supervision.

Experience in full development life cycle and significant experience in delivering applications and architecture services.

Experience in data visualization tools like Kibana, Grafana, Tableau and associated architectures.

Experience evaluating and implementing cutting-edge digital technologies.

Experience with Cloud technologies (AWS, GCP, PCF, Docker, Kubernetes and application migration.