Sr. Manager - Data Engineering

Job Description

Our client is a global leader in the aviation sector, driving a digital-first transformation powered by cloud technologies, data innovation, and machine learning. With a bold vision to redefine how data empowers smarter decisions, they are building a modern engineering ecosystem that fuels business agility and growth at scale. At the heart of this journey is a vibrant, inclusive, and forward-thinking technology team that thrives on curiosity, collaboration, and continuous learning. From cloud-native architectures to real-time data pipelines, team members are shaping solutions that impact millions of livesall while working in an environment that values diversity, wellbeing, and career development. The Job We are looking for a Senior Manager, Data Engineering & Development to join United Data Engineering team. As a senior manager, you will play a key role leading a team of engineers who will look to you for advice on technical and business challenges. You will guide the team and insist on highest standards for quality, maintainability, and performance. You will ensure that engineering best practices are followed and the data systems are designed to be highly available, scalable. You will set the strategic direction as well as own and prioritize goals for your team. Successful candidates will be high-bandwidth leaders who can cut through the noise, simplify relentlessly, deliver results, and build great teams around themselves. Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in big data technology, distributed systems and business intelligence tools Utilize programming languages like Java, Scala, Python and NoSQL databases and Cloud based data warehousing services such as Redshift Utilize tools like Power BI Desktop, DAX Studio, and Power Query to develop and optimize data models in PowerBI. Lead reviews of PBI models, solution strategies to ensure best practices to integrate BI solutions with current data platforms. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Perform unit tests and conducting code reviews with other team members to make sure application development and architecture standards are met, code is developed using best practices Your Profile Ideal candidates will have expertise in all phases of data & software lifecycle management processes. BS Computer Science, Engineering or related discipline or equivalent experience required • Cloudera/Hadoop Certification or AWS Developer/Big Data Analytics certification a plus 10+ years of experience in managing technical teams and projects 5+ years of experience leading an Engineering team familiar with large cloud environments, Big Data technologies 5+ years of development experience using Java, Python, Scala 4+ years experience with Batch and real time streaming Subject matter expert in Big Data, AWS technology Knowledge of PowerBI star schema and data modelling techniques Good understanding of all aspects of data architectures, data dictionaries, and data lineages in a large-scale enterprise environment Demonstrable experience with distributed data warehousing and data processing systems such as Redshift Deep knowledge of traditional data warehousing (models, practices, and processes), cloud based data warehouses, data lakes, and data streaming Exceptional system design abilities, including high-scale ETL/ELT pipelines including leveraging python Experience with or solid understanding of data pipelines and event-driven architectures (Kinesis, Kafka) Proficient with AWS Cloud technologies (i.e. S3, Lambda, Dynamo, EC2), Python, Spark, and Hadoop