Our client is world class airline group, with a proactive mindset to adopt and implement cutting edge Digital Innovation strategies in logistics and air transportation management. 

Responsibilities

• Provide leadership to own the high-level vision of data management systems and analytics support within the business.
• Drive and direct the team in the following core activities:
• Design and develop architecture for data services ecosystem spanning Relational, Columnar, No SQL, In-Memory and Big Data technologies.
• Design data models for mission critical and high volume data management, real-time and distributed data process aligning with the business requirements.
• Promote and develop data architecture best practices, guidelines, procedures and repeatable and scalable frameworks.
• Work with business units on their analytics initiatives, supply and/or source analytics expertise and resources.
• Ensure the appropriate technology resourcing and support for the Data Engineering and analytics team.
• Lead projects involving high level of coordination among departments and business areas.

Required Skills

• BS in Computer Science or other related discipline is required. Advanced degree and MBA preferred.
• 8-12 years of relevant industry experience in following areas:
  • Advanced knowledge and working experience with machine learning, statistical techniques, and information retrieval as well as on data management systems, practices and standards.
  • Architecting highly performant databases using RedShift, PostgreSQL and Cassandra.
  • In-Memory New SQL, NoSQL and Hadoop Hive/Spark.
  • Shell scripting, Python, Perl, Ruby, or any other scripting language.
  • Experience with commercial ETL platforms with in-depth knowledge and understanding of ETL methodology & design supporting data transformations transformation layer.
• Strong experience in technical team leadership and people management a must.
• Strong knowledge and experience with Agile/Scrum methodology and iterative practices in a service delivery lifecycle is a PLUS.
• Capable of delivering on multiple competing priorities with little supervision.
• Willing to strive for the ideal solution while still working within the framework of the organization, project, and environment.
• Strong planning skills and proven ability as a problem-solver.