Associate Software Engineer Resume
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SUMMARY:
- Hortonworks - certified Hadoop Developer with 2+ years of experience installing, configuring and leveraging the
- Hadoop ecosystem to glean meaningful insights from semi-structured and unstructured data.
- Good Knowledge in Hadoop Ecosystem.
- Good knowledge in programming, specifically java and OOAD
- Writing high-performance, reliable and maintainable code.
- Ability to write Spark jobs.
- Good knowledge of database structures, theories, principles, and practices.
- Hands on experience in HiveQL.
- Familiarity with data loading tools like Flume.
- Knowledge of workflow/schedulers like Oozie.
- Analytical and problem-solving skills, applied to Big Data domain
- Proven understanding with Hadoop, HDFS, HBase, Hive, Spark, Kafka and Solr.
- Good Knowledge of notebook tools like Zeppelin.
- Good Knowledge on log analysis tools like Splunk.
- Familiarity with CI and CD tools like Jenkins and UrbanCode.
TECHNICAL SKILLS:
- Hortonworks Sandbox
- Intellij IDEA
- Git
- Jenkins
- Bitbucket
- JIRA
- Vagrant
- MobaXterm
- Maven
- UrbanCode Deploy
PROFESSIONAL EXPERIENCE:
Associate Software Engineer
Confidential
Responsibilities:
- Building Realtime streaming applications using Spark Streaming, Kafka, HBase, Solr and Flume.
- Building Spark Batch applications to enrich the data into HBase, HDFS and Solr.
- Ingestion and Enrichment of Data into HDFS, HBase, Solr and Hive.
- Configuring Flume agents to push data into Datalake and Writing Flume interceptors to pre-process the data.
- Building Hive queries to generate reports.
- Extracting data from Datalake through a rest API service which uses HBase and Solr.
Software Engineer
Confidential
Responsibilities:
- Designing various flows inside of the Datalake based on the use case.
- Building Realtime streaming applications using Spark Streaming, Kafka, HBase, Solr and Flume.
- Ingestion and Enrichment of Data into HDFS, HBase, Solr and Hive.
- Writing Custom Hive Serdes to read semi-structured data from HDFS.
- Installing and Configuring interpreters on zeppelin.
- Optimizing Hive Queries using Bucketing and Partitioning.
- Building Oozie workflows using Hive actions to generate reports.
- Configuring Alerts and Dashboards in Splunk.
- Involved in complete end to end code deployment process in Production.
- Performing releases by interacting with multiple IT Teams.
