Big Data Engineer

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 a Professional services and system integration company delivering IT security, identity, access management and regulatory compliance solutions leveraging 100s of years of collective experience across all major IAM vendor technologies. Focus on the strategy, design, configuration, implementation and management of its solutions for rapid success for the customers. The company seamlessly integrates software, deep professional services & expert support for all Identity Management activities, there by reduces financial, technical, and operational burden of managing Identity Management systems.

Job Description

Start Date: ASAP

Duration: 12–24+ Month Contract

Mode of Interview: Phone and Skype

Required Skills

• 3 years of hands‑on experience in the Hadoop ecosystem (HDFS, YARN, MapReduce, Oozie, and Hive)
• 1 year of hands‑on experience in Spark core and Spark SQL
• 5 years of hands‑on programming experience in either core Java or Spark
• 3 years of hands‑on experience in Data Warehousing and Data Marts and Data/Dimensional Modeling and ETL
• 1 year of hands‑on experience in HBase or Cassandra or any other NoSQL DB
• Understanding of Distributed computing design patterns and algorithms and data structures and security protocols

Desired Skills

• Understanding of Kafka and Spark Streaming
• Experience in any one of the ETL tools such as Talend, Kettle, Informatica or Ab Initio
• Exposure to Hadoop or NoSQL performance optimization and benchmarking using tools such as HiBench or YCSB
• Experience in performance monitoring tools such as Ganglia or Nagios or Splunk or DynaTrace
• Experience on continuous build and test process using tools such as Maven and Jenkins
• Certification in HortonWorks or Cloudera preferred but not mandatory

Additional Information

All your information will be kept confidential according to EEO guidelines.