Hitec - Jersey City, NJ

posted about 2 months ago

Full-time - Senior
Jersey City, NJ
Merchant Wholesalers, Durable Goods

About the position

The Data Engineering Manager is a senior management role responsible for leading multiple teams within the Applications Development Group, focusing on the establishment and implementation of new or revised application systems and programs. This position plays a critical role in the Risk and Finance group, overseeing data management strategies that support various risk and finance functions. The manager will drive a convergence strategy to consolidate fragmented data instances into a strategic set of data points, ensuring high data quality and compliance with industry standards.

Responsibilities

  • Manage multiple teams of professionals to accomplish established goals and conduct personnel duties for the team, including performance evaluations, hiring, and disciplinary actions.
  • Provide strategic influence and exercise control over resources, budget management, and planning while monitoring end results.
  • Utilize in-depth knowledge of concepts and procedures to resolve issues and ensure essential procedures are followed.
  • Integrate knowledge of applications development with overall technology functions to achieve established goals.
  • Provide evaluative judgment based on analysis of facts in complicated, unique, and dynamic situations.
  • Influence and negotiate with senior leaders across functions and communicate with external parties as necessary.
  • Assess risk when making business decisions, ensuring compliance with applicable laws and regulations, and creating accountability for maintaining standards.

Requirements

  • 10+ years of relevant experience
  • Experience in applications development
  • Experience in management
  • Experience managing global technology teams
  • Working knowledge of industry practices and standards
  • Consistently demonstrates clear and concise written and verbal communication
  • Advanced level knowledge of Java
  • Advanced level experience with HTTP, ReSTful web services and API design
  • Programming skills including concurrent, parallel and distributed systems programming
  • Experience with Bigdata technologies such as Hadoop, Apache Spark, Python, and PySpark
  • Experience with Reactive Streams

Nice-to-haves

  • Familiarity with Hadoop SQL interfaces like Hive, Spark SQL, etc.
  • Experience with Kubernetes
  • Good understanding of the Linux OS
  • Experience with Gradle, Maven
  • Experience in Data science, model building, and scaled model operations

Benefits

  • Medical, dental & vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid time off packages including vacation, sick leave, and paid holidays
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