Lead Sr Software Engineer(Cloudera Hadoop stack) | W2 Only

Remote • Posted 1 hour ago • Updated 1 hour ago
Contract Independent
Contract W2
6 Months
Remote
$60 - $70/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon EMR
  • Collaboration
  • Computer Science
  • Data Processing
  • Data Security
  • DevOps
  • Apache Spark
  • Bash
  • Big Data
  • Bitbucket
  • Cloud Computing
  • Cloudera
  • Amazon Web Services
  • Analytics
  • Apache Hadoop
  • Apache Hive
  • Apache Oozie
  • Management
  • Mentorship
  • Migration
  • Python
  • Regulatory Compliance
  • Scalability
  • Gradle
  • HDFS
  • Health Care
  • Information Systems
  • Information Technology
  • JSON
  • Scripting
  • Shell
  • Software Design
  • Storage
  • Technical Writing
  • Terraform
  • Workflow
  • Writing
  • XML

Summary

Lead Sr Software Engineer(Cloudera Hadoop stack) | W2 Only
Remote

Required Skills:
Bachelor s Degree in Computer Science, Information Technology, Information Systems, or related field.
10+ years of experience with enterprise and application design patterns that are applied on Hadoop and Big data platforms in aws.
The ideal candidate will possess deep expertise in both on-premises Hadoop ecosystems and modern cloud-native big data solutions on AWS.
Hands-on experience with Cloudera Hadoop stack (HDFS, Hive, Spark, Oozie, Python) Proficiency in writing, maintaining, and troubleshooting shell scripts (Bash or similar) for automation and operational support.
Migration to AWS will need Analyze existing Cloudera Hadoop architecture, workflows, and data pipelines.
Develop a comprehensive migration strategy to transfer data, processing logic, and applications to AWS services.
Design target architecture using AWS big data services such as Amazon EMR, Airflow, Glue, Lambda.
Evaluate and select appropriate AWS tools for data ingestion, storage, processing, and analytics.
Oversee the migration process, including data transfer, application re-platforming, and validation.
Ensure the new architecture meets performance, scalability, reliability, and security requirements.
Collaborate with developers, data engineers, DevOps, and stakeholders to ensure a seamless migration.
Create detailed technical documentation and migration runbooks. Mentor team members on AWS big data best practices.
Strong understanding of data security, compliance, and governance in the cloud. Proven track record of migrating or modernizing big data workloads to AWS.
Experience with cloud automation and Infrastructure as Code (e.g. Terraform).
AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Big Data Specialty) are highly desirable. Additional skills required Familiarity with xml/json data formats Knowledge of monitoring and logging tools
5+ years of experience with platform engineering tools such as Bitbucket, Gradle, Octopus, Artifactory.
Preferred Qualifications Bachelor s degree in Computer Science, Engineering, or related field (often required)
Knowledge of healthcare data such as claims and entities such as providers, members and their relationship within the framework of a claim.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10235975
  • Position Id: 9131082
  • Posted 1 hour ago
Contact the job poster
YA

Yogesh Anand

Recruiter @ Blue Space Technologies

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