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Senior Manager, Data Engineering

Jobtailor

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  • Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
  • Utilize Java, Scala, Python, open source RDBMS and NoSQL databases, and cloud-based data warehousing services such as Redshift and Snowflake
  • Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor engineering community members
  • Collaborate with digital product managers to deliver robust cloud-based solutions that help millions of Americans achieve financial empowerment
  • Perform unit tests and conduct code reviews to ensure code is rigorously designed, elegantly coded, and tuned for performance
Requirements
  • Bachelor’s Degree
  • At least 6 years of experience in application development (Internship experience does not apply)
  • At least 2 years of experience in big data technologies
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • At least 4 years of people management experience
  • Preferred: Master's Degree
  • Preferred: 9+ years of experience in application development including Python, SQL, Scala, or Java
  • Preferred: 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • Preferred: 5+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • Preferred: 4+ years experience working on real-time data and streaming applications
  • Preferred: 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • Preferred: 4+ years of data warehousing experience (Redshift or Snowflake)
  • Preferred: 4+ years of experience with UNIX/Linux including basic commands and shell scripting
  • Preferred: 2+ years of experience with Agile engineering practices
  • Preferred: 6+ years of people management experience
  • No agencies please
Core Competencies

Demonstrates expertise in full-stack development, machine learning, and cloud computing, with a strong focus on team leadership and mentoring. Proficient in big data technologies and data warehousing solutions, ensuring high-quality code and performance optimization.

Highest-signal resume keywords
  • Full-Stack Development
  • Machine Learning
  • Cloud Computing (AWS, Microsoft Azure, Google Cloud)
  • Big Data Technologies
  • People Management
ATS Optimization Keywords
Hard Skills
  • Java
  • Scala
  • Python
  • SQL
  • NoSQL
  • Data Warehousing (Redshift, Snowflake)
  • Distributed Data/Computing Tools (MapReduce, Hadoop, Spark)
  • UNIX/Linux
  • Agile Engineering Practices
  • Unit Testing
Soft Skills
  • Collaboration
  • Mentoring
  • Leadership
Industry Keywords
  • Financial Empowerment
  • Real-Time Data
  • Streaming Applications
Tools & Technologies
  • Open Source RDBMS
  • Cloud-Based Data Warehousing Services
  • Kafka
  • Hive
  • EMR
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Vacancy posted 2 days ago
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