Technical Lead 24633-1

Keylent, Inc.

$124K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7-10 years of software development experience, including team leadership
  • 5+ years of hands-on experience with Map-Reduce, Hive, and Spark
  • 1+ year of experience with Kafka streams or queues
  • Familiarity with cloud platforms like GCP/AWS and microservices
  • Experience with NoSQL databases such as HBase, Couchbase, or MongoDB
  • Strong communication skills and project management abilities

Responsibilities

  • Lead engineering teams and scrum teams in software development
  • Design and develop optimized data pipelines for batch and real-time processing
  • Write and optimize complex SQL queries, particularly with Hive and PySpark
  • Analyze, design, and implement system applications
  • Document technical and functional specifications, and software/system processing flows
  • Utilize UNIX shell scripting in development processes

Benefits

  • Hybrid work model in Phoenix, AZ
  • Opportunity to lead and influence engineering practices
  • Engagement with cutting-edge Big Data technologies
  • Collaboration with teams on scalable solutions in cloud environments
  • A role that may lead to advanced project management responsibilities
Full Job Description
Request-ID: 24633-1
*THIS ROLE IS HYBRID IN PHOENIX, AZ*
MAX BILL RATE: $60
Job Title: Technical Lead
Experience: 7 to 10 yrs.
Preferred Qualifications:

- Knowledge of cloud platforms like GCP/AWS, building Microservices and scalable solutions, will be an advantage
- 1 + years of experience in designing and building solutions using Kafka streams or queues
- Experience with GitHub/Bitbucket and leveraging CI/CD pipelines
- Experience with NoSQL i.e., HBase, Couchbase, MongoDB is good to have
- Excellent technical and analytical aptitude
- Good communication skills
- Excellent Project management skills.
Job Summary:
- 10+ years of software development experience and leading teams of engineers and scrum teams
- 5+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark)
- 5+ years of experience within Data Engineering/ Data Warehousing using Big Data technologies
- Knowledge of Financial reporting ecosystem will be a plus
- Expert on Distributed ecosystem
- Hands-on experience with programming using Core Java or Python/Scala
Roles & Responsibilities:
- Expert on Hadoop and Spark Architecture and its working principle
- Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data
- Experience in UNIX shell scripting
- Ability to design and develop optimized Data pipelines for batch and real time data processing
- Should have experience in analysis, design, development, testing, and implementation of system applications
- Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows.

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