Manager Data Engineering

Key Responsibilities:

• Deliver large scale data engineering programs / projects in alignment with the organization’s strategic plans and objectives.
• Design, build, and maintain data pipelines, data warehouses, and data lakes on cloud.
• Provide technical leadership and guidance to the data engineering team to design, develop, optimize, maintain data products and create a community of practice.
• Collaborate with different stakeholders like data platform & architecture team , data product owners, Data Governance team, business division heads to prioritize data needs, define data strategy and implement governance processess
• Establish best practices, standards, and processes for data engineering operations.
• Develop and implement a data engineering strategy that aligns with the organization’s overall goals.
• Implement and enforce data quality standards for the data products and maintain data product SLAs.
• Identify inter-dependencies between the various stakeholder groups to ensure all are aligned and risks are identified, mitigated and communicated.

Be part of an extraordinary story

Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.

Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible

Qualifications

Experience & Knowledge:

• Bachelor’s Degree or equivalent (Degree in engineering, computer applications, commerce, or business administration) with minimum 10 years of experience in data engineering with proven expertise in designing and implementing data pipelines
• Minimum 4 years of experience in a leadership role, with the ability to guide, motivate, and develop a high-performing team
• Hands on experience on working with Google Cloud Platform and its suite of data analytics services
• Strong understanding of database technologies (SQL, NoSQL, etc.) and data warehousing concepts.
• Strong knowledge of big data modelling.
• Strong understanding of data architecture and design principles.
• Strong solution design skills to build scalable, resilient and sustainable solutions to address business requirements
• Knowledge of data governance, compliance, machine learning, artificial intelligence and data mesh architecture
• Knowledge of airline domain would be preferred, however not mandatory