Sr. Software Engineer

Keylent, Inc.

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in Hadoop ecosystem (Cloudera preferred)
  • Proficiency in Java or Scala programming languages
  • Experience with data ingestion and migration
  • Strong knowledge of Apache Kafka and RDBMS
  • Linux operating system experience

Responsibilities

  • Design and develop data ingestion pipelines
  • Manage data migration and conversion tasks
  • Build and integrate software applications using industry standards
  • Collaborate with analysts and architects on application frameworks
  • Automate ETL processes for diverse datasets

Benefits

  • Work with cutting-edge big data technologies
  • Opportunity to contribute to key data strategies
  • Collaborative and innovative team environment
  • Access to professional development resources
  • Flexibility with work arrangements
Full Job Description
Visa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
Tax Terms: W2, 1099
Corp-Corp or 3rd Parties: Yes

Description
The Hadoop Developer/Architect
Location: Dearborn, MI
The Hadoop Developer/Architect position will provide expertise in a wide range of technical areas, including but not limited to: Cloudera Hadoop ecosystem, Java, collaboration toolsets integration using SSO, configuration management, hardware and software configuration and tuning, software design and development, and application of new technologies and languages which are aligned with
1. Design and development of data ingestion pipelines.
2. Perform data migration and conversion activities.
3. Develop and integrate software applications using suitable development methodologies and standards, applying standard architectural patterns, taking into account critical performance characteristics and security measures.
4. Collaborate with Business Analysts, Architects and Senior Developers to establish the physical application framework (e.g. libraries, modules, execution environments).
5. Perform end to end automation of ETL process for various datasets that are being ingested into the big data platform.
Required Skills:
1. Java/Scala
2. Hadoop (preferably Cloudera CDH-5.12+), HDFS, Hive, Impala, Spark, Oozie, HBase
3. Apache Kafka
4. Any RDBMS
5. Linux
Good to Have:
Python
Flume
Solr
ETL Tools
NoSQL databases (Mongo/Couchbase/Cassandra), IIB or any other ESB experience

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