Senior Big Data Engineer: Hadoop, Spark & ETL (Contract)

Inframatix Inc; Chevy Chase (MD); On-site; USD 90,000 - 130,000; Full time

Job summary

Inframatix Inc is looking for a skilled professional to leverage their extensive experience in the Hadoop ecosystem and Spark within a 12-24 month contract. The successful candidate will require at least three years of direct experience with Hadoop components and programming in Java or Spark. Knowledge of data warehousing and distributed computing design patterns is essential for this role.

The position offers a contract starting ASAP and opportunities for working with advanced technologies and solutions.

Qualifications

• 3 years of hands-on experience in the Hadoop ecosystem.
• 1 year of hands-on experience in Spark core and Spark SQL.
• 5 years of programming experience in Java or Spark.
• 3 years of experience in Data Warehousing and Data Marts.
• 1 year of hands-on experience in a NoSQL database.

Skills

Hadoop ecosystem experience (HDFS, YARN, MapReduce, Oozie, Hive)

Spark core and Spark SQL

Java or Spark programming

Data Warehousing and Data Marts

HBase or Cassandra or NoSQL

Distributed computing design patterns

Tools

ETL tools (Talend, Kettle, Informatica, Ab Initio)

Kafka and Spark Streaming

Performance monitoring tools (Ganglia, Nagios, Splunk, DynaTrace)

Maven and Jenkins

Job description

Inframatix Inc is looking for a skilled professional to leverage their extensive experience in the Hadoop ecosystem and Spark within a 12-24 month contract. The successful candidate will require at least three years of direct experience with Hadoop components and programming in Java or Spark. Knowledge of data warehousing and distributed computing design patterns is essential for this role.

The position offers a contract starting ASAP and opportunities for working with advanced technologies and solutions.