CURRENT OPENINGS

Senior Software Developer

Senior Software Developer with Bachelor Degree in Computer Science, Computer Information Systems, Information Technology, or a combination of education and experience equating to the U.S. equivalent of a Bachelor's degree in one of the aforementioned subjects.

Job Duties and Responsibilities:

  • Deploy a Hadoop cluster, maintaining a Hadoop cluster, adding and removing nodes using cluster monitoring tools like Ganglia Nagios Cloudera Manager.
  • Configure the NameNode high availability and keeping a track of all the running Hadoop jobs.
  • Manage and maintain the Hadoop clusters for uninterrupted job.
  • Routine check-up, back-up and monitoring of the entire system.
  • Ensure the connectivity and network is always up and running.
  • Plan for capacity upgrading, downsizing as and when the need arises.
  • Manage the HDFS and ensuring it is working optimally at all times.
  • Secure the Hadoop cluster in a foolproof manner is paramount.
  • Regulate the administration rights depending on job profile of users.
  • Add new users over time and discarding redundant users smoothly.
  • Fine tune applications and systems for high performance and higher volume throughput.
  • Pre-Process using Hive and Pig.
  • Troubleshoot and develop Hive, Pig, Flume, Mango DB, Sqoop, Zookeeper, Spark, MapReduce2, YARN, HBase, Kafka and Strom.
  • Translate load and exhibit unrelated data sets in various formats and sources like JSON, text files, kafka queues and log data.
  • Install and configure Docker images for Telegraf, InfluxDB, Grafana, Kapacitor on AWS cloud monitoring EC2.
  • Design and Develop Kapcitor scripts for alerting as push notifications, SMS, Email and Slack alerts.
  • Architect, Design and Develop Big Data streaming applications to use high performance and highly available NoSQL Key Value store Redis for check pointing.
  • Design and develop AWS Cloud deployment scripts using AWS Cloud Formation Templates, Terraform and Ansible.
  • Design and Develop Spark applications in Scala that use DOM/SAX parsers for parsing incoming raw string/XML data.
  • Develop and deploy Chef scripts on centralized DEV, QA, PROD servers for installing Java 8, Apache Spark/Flink/Apex, Stunnel, nginx http server, telegraf agent, Apache Zookeeper on Standalone AWS cloud clusters.

Work experience / Technologies required for the position:

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing big data data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • At least with 2+ years of experience in a Data Engineer or similar roles, who has attained a Bachelor's degree in Engineering, Computer Science, Information Technology, related field or equivalent work experience.
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • 5+ years of experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Work location is Portland, ME with required travel to client locations throughout USA.
Rite Pros is an equal opportunity employer (EOE).

Please Mail Resumes to:
Rite Pros, Inc.
415 Congress St, Suite # 201 & 202
Portland, ME 04101

Email: resumes@ritepros.com