Manager, Data Engineering - (Big Data, Spark, Scala, Python, Cassandra, Elasticserach, AWS, Airflow, SQL)

Responsibilities

• Oversee the development of scalable, reliable, and cost-effective software solutions with an emphasis on quality, best-practice coding standards, and cost-effectiveness 
• Participate as a team lead on projects, which includes training, coaching, and sharing technical knowledge with less experienced staff.
• Rapidly identify and resolve technical incidents as they emerge
• Build rapid technical prototypes for early customer validation of new technologies
• Collaborate effectively with Data Science to understand, translate, and integrate methodologies into engineering build pipelines 
• Collaborate with product owners to translate complex business requirements into technical solutions, providing leadership in the design and architecture processes.
• Provide expert apprenticeship to project teams on technology strategy, cultivating advanced skill sets in application engineering and implementing modern software engineering practices
• Lead and mentor a team of Software Developers and Senior Software Developers, providing guidance and support in their professional development
• Stay informed about the latest technology and methodology by participating in industry forums, having an active peer network, and engaging actively with customers
• Cultivate a team environment focused on continuous learning, where innovative technologies are developed and refined through collaborative effort

Key Skills

• Domain Expertise
• Bachelor’s degree in computer science, engineering plus 5-8 years of experience in information technology solutions development and 2-3 years managing teams. 
• Proven experience in leading and managing software development teams.
• Must have strong cloud Implementation expertise in cloud architecture. 
• Must have the ability to provide solutions utilizing best practices for resilience, scalability, cloud optimization and security.
• Basic project management skills. 


• Technical Skills
• 6+ years of experience: big data using Apache Spark in developing distributed processing. applications; building applications with immutable infrastructure in the AWS Cloud with automation technologies like Terraform or Ansible or CloudFormation, Cassandra & Elasticsearch.
• Experience in Service-oriented architecture, Spark Streaming, and Git.
• Experience in software development using programming languages & tools/services like: Java or Scala, Big Data, Hadoop, Spark, Spark SQL, Presto \ Hive,Cloud (preferably AWS), Docker, RDBMS (such as Postgres and/or Oracle), Linux, Shell scripting, GitLab, Airflow.
• Experience in big data processing tools/languages using Apache Spark Scala.
• Experience with orchestration tools: Apache Airflow or similar tools.
• Strong knowledge on Unix/Linux OS, commands, shell scripting, python, JSON, YAML.
• Agile scrum experience in application development is required. 
• Strong knowledge  in AWS S3, PostgreSQL or MySQL.
• Strong knowledge  in  AWS Compute: EC2, EMR, AWS Lambda.
• Strong knowledge in Gitlab /Bitbucket .
• AWS Certification is a plus.


• Mindset and attributes
• Exceptional verbal/written communication and interpersonal skills.
• Strong leadership qualities and the ability to inspire and motivate a team.
• Strong ability to translate business requirements into technical solutions and guide the team in execution.