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    Lead Data Engineer - Bengaluru, India - People Gamut HR Solutions

    People Gamut HR Solutions
    People Gamut HR Solutions Bengaluru, India

    3 days ago

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    Description
    Who we are?

    We like to help people meet their mobility needs with our products. We offer our products to users across India as well as 60+ countries in Asia, Africa, and Latin America.


    At Data Science & Engineering Group, we are a community of Data Scientists, Machine Learning Researchers, and Data Engineers, working to drive research in machine learning & deep learning solutions.

    We partner with our end customers, business teams, AI/ML vendors, and digital application development teams to build data products in different areas of the customer value chain.


    We are looking to welcome someone who can work as the data engineering practice for Adjacent mobility digital functions, including customer-facing &, Distribution channel management and digital Assets development (website & Apps).

    This position will report to the divisional manager of data engineering for the Adjacent mobility business.


    Our Data engineering team is responsible for the data architecture, warehousing, and data processing pipelines that power various web & mobile applications, our data-science products and services, and feed our machine learning APIs.

    What will you learn and do?


    This person will be responsible for overseeing all engineering-related activities of the team, ensuring proper execution of duties and alignment with the business's overall vision.


    The person will work with cross-functional teams across the company to provide advanced data management and analytical systems and services.

    The ideal candidate will not only have broad data engineering experience, but will be passionate about emerging technologies, engineering, and technology best practices.

    He/she will also be an astute mentor, with the ability to balance appropriate delegation with timely, personalized mentorship.

    Your responsibilities :


    • Partner with internal teams and external vendors to ingest, store, and enrich data throughout the organization within the enterprise data lake and underlying warehouses/data marts/etc
    • Lead largescale integration and replatforming efforts with Customer digital assets, distribution channel platforms, and websites both internally and externally to enhance the data
    • Collaborate with Business leaders, Data Science, Infra, and Digital App Development teams on implementing machine learning algorithms at scale to facilitate audience intelligence, segmentation, and personalization initiatives
    • Collaborate with Business Intelligence and extended analytics groups on data mart optimizations, query tuning, and data model designs with a focus on delivering actionable insights
    • Work strategically to align data assets, storage, and computation/query layers to support longterm data platform goals, help define data models, publish metadata, guide best practice ETL qualifications :
    • Proven ability to lead and mentor a highly technical engineering team while also demonstrating the ability to discuss, understand, and synthesize solutions for the business needs and data management requirements of other organizational units
    • More than 10+ years of experience in data engineering and data management
    • Handson experience in designing and managing data lakes, data warehouses, and downstream marts
    • Handson experience with the AZURE ecosystem (Databricks, Data Factory, HDInsight, Event Hubs, AKS, Azure DevOps, etc.)
    • Exposure to modern development approaches (containerization, microservices, CI/CD)
    • Handson experience with relational database platforms (Oracle, SQL Server, Postgres, MySQL)
    • Solid understanding of realtime (e.g. Kafka) and batch data processing frameworks, DAG schedulers (Airflow, Luigi, etc)
    • Exceptional analytical, quantitative, problemsolving, and critical thinking skills
    • Have a collaborative work style with a strong desire to work in a dynamic, fastpaced environment that requires flexibility and the ability to manage multiple priorities
    • Masters/Bachelor's degree or equivalent experience in Computer Science, Information Science disciplines, or comparable STEMrelated degree
    • Experience with online media data at scale (web/ad/video/email event streams, identity graphs/maps)
    We are committed to an inclusive and diverse company. We are an equal opportunity employer.

    We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status, or any other legally protected status.

    )
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