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About the role
Responsibilities Contribute towards supporting the build/implementation of data ingestion and curation processes developed using Big data tools such as Spark (Scala/python), Hive, HDFS, Kafka, Pig, Spark, HDFS, Oozie, Sqoop, Flume, Zookeeper, Kerberos, Sentry, Impala, CDP 7.x etc. under the guidance of Big Data Engineers. Support the ingestion of huge data volumes from various platforms for Analytics needs and prepare high-performance, reliable, and maintainable ETL code with support/review guidance of senior team members. Provide relevant support in monitoring performance and advising any necessary infrastructure changes to senior team members for their review inputs. Understand the defined data security principals and policies developed using Ranger and Kerberos. Gain broader understanding on how to support application developers and progressively work on efficient big data application development using cutting edge technologies. Collaborate with Business systems analyst, technical leads, Project managers and business/operations teams in building data enablement solutions across different LOBs and use cases basis Understand & support the creation of reusable frameworks which will optimize the development effort involved. Contribute towards supporting the build/implementation of data ingestion and curation processes developed using Big data tools such as Spark (Scala/python), Hive, HDFS, Kafka, Pig, Spark, HDFS, Oozie, Sqoop, Flume, Zookeeper, Kerberos, Sentry, Impala, CDP 7.x etc. under the guidance of Big Data Engineers. Support the ingestion of huge data volumes from various platforms for Analytics needs and prepare high-performance, reliable, and maintainable ETL code with support/review guidance of senior team members. Provide relevant support in monitoring performance and advising any necessary infrastructure changes to senior team members for their review inputs. Understand the defined data security principals and policies developed using Ranger and Kerberos. Gain broader understanding on how to support application developers and progressively work on efficient big data application development using cutting edge technologies. Collaborate with Business systems analyst, technical leads, Project managers and business/operations teams in building data enablement solutions across different LOBs and use cases basis Understand & support the creation of reusable frameworks which will optimize the development effort involved.
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