We provide IT Staff Augmentation Services!

Associate Software Engineer Resume

3.00/5 (Submit Your Rating)

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.

We'd love your feedback!