Collins Aerospace | Jobs | Senior Lead Data Engineer | BigDataKB.com | 02-02-22

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    Job Location: Bangalore/Bengaluru

    Key Responsibilities:

    • Stakeholders include a team of data analysts and data scientists. Enable the team with data acquisition, performance tuning and data processing.
    • Builds data pipelines focusing on data ingestion, integration, modeling, optimization, and quality for AI processing. Architects and launches new data models (marts, lakes, stores, hubs). Optimizes costs, storage, processing and access to integrated data.
    • Explores data for pattern detection prior to algorithm development. Prepares and pre-processes data utilized in algorithms. Ensures data is formatted and cleansed for AI processing.
    • Drives use and adoption of new data sources and data partnerships.
    • Deploys production algorithms created by AI Engineering team. Governs and monitors production algorithms.
    • Maintains and utilizes data catalog and algorithm catalog for AI space.
    • Develops and deploys APIfor data movement, manages the flow of information and system integration between applications.
    • Monitors production processes using enterprise scheduling tools and troubleshoots incidents surrounding supported solutions, including after-hours escalations of major incidents.

    Basic Qualifications:

    • Bachelordegree 5 years of experience in architecting distributed systems, creating reliable data pipelines, combining data sources, and establishing data stores in an operations environment OR advanced degree with 2 years of relevant experience.
    • Experience with the delivery of big data solutions and applications
    • Experience in designing, developing, building and ongoing support of data integration services. Experience with Performance Tuning of complex solutions (both ETL queries and database structures).
    • Experience with multiple database platforms(Postgres, MySQL, Oracle, Hana, Teradata), cloud and on-premises hosting models (Linux, API, Serverless), and programming languages (Python, JavaScript, SQL).

    Preferred Skills:

    • Hands-on experience building and operating AI/ML platforms.
    • Experience in environments that use data to support artificial intelligence and/or machine learning is desired.
    • Proficiency in tools used to manage data throughout its lifecycle, especially tools that are applicable to large, complex and distributed organizations.
    • Show an understanding of cloud-based (e.g., AWS, Azure) technology for developing data solutions.Includes automation, continuous integration and continuous deployment (Git, Docker, Gulp Jenkins).

    Apply Here

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