Lead Sr. Hadoop Engineer - AWS || Remote role || Cloudera/Hadoop to AWS migration
Why This Role Stands Out
This remote Lead Sr. Hadoop Engineer role offers a fantastic opportunity to drive critical cloud migration initiatives, significantly advancing your AWS and big data expertise. If you thrive on complex technical challenges and enjoy shaping innovative data solutions, this position is an excellent fit for your career growth. Apply today to join a forward-thinking team and make a real impact.
Quick Overview
Job Description
Hi,
Hope you are doing well !!
I have an urgent position. Kindly go through the Job description and let me know if this would be of interest to you.
Job Title: LEAD Sr. Hadoop Engineer
Location: 100% Remote role
Duration: 6+ Months Contract
****While sharing resume mention consultant location and visa status***
Job Description:
**ASSESSMENT REQUIRED
• 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
Thanks & Regards,
Abhishek Yadav
DMS Vision Inc. |
4645 Avon Lane, Suite 210, Frisco, TX 75033
Email: | Phone : | EXT - 103
Skills
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