Position Responsibilities:
•    Hands-on experience in understanding aerospace domain specific data
•    Execute the strategy to build highly reliable and scalable data and analytics platforms to ensure the business requirements are met
•    Build quality checks across the data lineage and responsible in designing and implementing different data patterns.
•    Create and implement repeatable and reusable frameworks for delivering Data and AI solutions
•    Establish architecture best practices, along with comprehensive standards and guidelines, to ensure adherence across the organization
•    Must have experience in building self-service capabilities to users.
•    Has experience of building impactful or outcome-based solutions/products.
•    Must have clear understanding of defining data products and monetizing.
•    Conduct hands-on Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) to address critical capability needs, facilitating effective decision-making processes
•    Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings and cross team alignments
•    Demonstrated ability to establish working relationship with vendors (Technology and Consulting), Partners and cross teams and holding them accountable
•    Stay up to date with the latest trends and best practices in Cloud and Data architecture tools and technologies
•    Experience to design and develop end-to-end ETL pipelines using Python, SQL to process structured and unstructured data from various sources including APIs, S3, and SFTP.

Basic Qualifications (Required Skills/Experience): 
•    Bachelor’s degree or higher as Basic Qualification
•    10+ Years of experience as Data Engineer
•    Strong understanding of Datawarehouse concepts, datalake, datamesh.
•    Familiar with ETL tools and Data ingestion patterns
•    Hands on experience in building data pipelines.
•    Hands on experience in writing complex SQL (No- SQL is a big plus)
•    Hands on experience with data pipeline orchestration tools
•    Hands on experience on Data Modelling
•    Experience in working with Global teams with global mindset.
•    Experience working on Agile projects and Agile methodology in general
•    Excellent problem solving, communications, interpersonal and leadership skills
•    Exceptional presentation, visualization, and analysis skills
•    Ability to understand and comprehend complex environments and systems
•    Inquisitive by nature and keen to figure out how things work