Home Online Senior Team Lead Data Engineer, Wireless Network AI & Automation

Home Online Senior Team Lead Data Engineer, Wireless Network AI & Automation

Senior Team Lead Data Engineer, Wireless Network AI & Automation

Full time at Addforce Human Resources Solution Inc. in Online
Posted on May 8, 2024

Job details

POSITION: Senior Team Lead Data Engineer, Wireless Network AI & Automation Work Schedule: Night Shift (9PM-6AM MNL) Salary Package : 156,000-190,000 Work Set up: WFH - Remote REQUIREMENTS:

  • 5+ years’ experience leading data engineering and operations teams in a DevOps environment.
  • More than 5 years of strong leadership skills with a passion for developing high performance teams
  • At least 3 years of expertise in both on-premises (e.g. Hadoop, Kubernetes, Kafka, etc.) and cloud-based data technologies, with a focus on Google Cloud Platform.
  • At least 3 years of strong proficiency in Scala, Spark, Kafka, SQL/NoSQL, Shell scripting, Python, etc. ideally
  • At least 3 years of hands-on experience building data pipelines in Java and Python
  • At least 3 years of hands-on experience in data pipeline performance management, with a focus on end-to-end reliability, resource efficiency, and observability
  • Knowledge of Agile Scrum, DevOps, and Lean Management practices.
  • Stay current with industry trends and best practices in DevOps.
  • Strong proficiency project management tools such Confluence and Jira.
NOTE: KINDLY INCLUDE YOUR JOB DESCRIPTION, DUTIES & RESPONSIBILITIES, CERTIFICATION & TRAINING, TOOLS & SOFTWARE USED ON YOUR CV FOR PAPER SCREENING HIRING PROCESS: - Phone Screening - Technical Exam - Initial Interview by Client - Endorsement to Client Management Team - CV Screening by Hiring Manager - First-level Hiring Manager Interview - Selection - Job Offer - Background Check - Requirements Completion - Onboarding Job Types: Full-time, Permanent Pay: Php156,000.00 - Php190,000.00 per month Benefits:
  • Work from home
Schedule:
  • 8 hour shift
  • Monday to Friday
  • Night shift
Experience:
  • leading DevOps environment.: 5 years (Preferred)
  • Hadoop, Kubernetes, Kafka: 5 years (Preferred)
  • Scala, Spark, Kafka, SQL/NoSQL, Shell scripting, Python: 3 years (Preferred)
  • building data pipelines in Java and Python: 3 years (Preferred)
  • Agile Scrum, DevOps, and Lean Management: 3 years (Preferred)
  • Confluence and Jira: 3 years (Preferred)
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