Data Engineering Team Leader

 
 We’re looking for a Data Engineering Team Leader to lead a data team and help us grow our Data Engineering team’s capabilities.
 The ideal candidate is an experienced manager and developer who is self driven, motivated and independent.
  
 Responsibilities and Duties:
     Responsibility for maintaining the integrity and performance of the company data architecture and databases.     Manage and maintain cross R&D data related AWS services.     Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.     Enhance the team’s dev-ops capabilities.      Contribute to the core design of data architecture, data models and schemas, and implementation plan.      Be the main expert and focal point of our data technologies and tools.     Design, build and maintain optimal data pipeline architecture for optimal extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.      Design, create and maintain the infrastructure for ingesting data into our data lake and data warehouse and providing frameworks and services for operating on that data.      Work with security to implement data privacy and data security requirements to ensure solutions stay compliant to security standards and frameworks.   Lead POCs and innovation for new data technologies, databases, tools and services that can significantly push the division goals.  
   
 Qualifications:
     Team management – Must.     Proven self/time management and team/project management skills – Must.     At least 5 years in a Data engineering position – Must.     Advanced coding experience in Java / Scala on high scale – Must.     Knowledge and experience with AWS services  – Must.     Hands-on experience with Data Streaming technologies: Apache Kafka/KStream/KSQL/Apache Flink – Advantage.     Experience with containerized (Docker, ECS, Kubernetes) or serverless (Lambda) deployment.    High level English – Must.