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    Azure Lead Data Engineer - pune, India - IntraEdge

    IntraEdge
    Default job background
    Technology / Internet
    Description

    As Azure Lead Data Engineer, you will have to take over the key activities of designing, coding, and implementing data solutions in the platform. With a focus on leveraging DBT for data transformation and modelling, as well as expertise in MDM tools, you will play a pivotal role in architecting scalable and performant data pipelines and warehouses. You will collaborate closely with cross-functional teams to understand business requirements, architect data solutions, and ensure successful project delivery. You will be leading a team of skilled engineers who will collectively deliver scalable, highly dependable data solutions that can cater to the customers.

    Location : Remote work opportunity

    Responsibilities:

    • Lead the design, development, and implementation of data solutions on the Microsoft Azure platform.
    • Architect data pipelines, data warehouses, and data lakes using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
    • Design and implement ETL processes to extract, transform, and load data from various sources into Azure data platforms, utilizing DBT for data transformation.
    • Develop scalable and efficient data models to support analytics, reporting, and machine learning initiatives, with a strong emphasis on using DBT for modelling.
    • Lead performance optimization efforts to ensure the efficient processing of large volumes of data.
    • Mentor and coach junior team members, providing guidance on best practices, technical expertise, and professional development.
    • Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
    • Stay abreast of emerging technologies and industry trends in data engineering and cloud computing.

    Qualifications:

    • BE Computer Science or a related field.
    • ~10 years of experience in data engineering, designing, and implementing data solutions on the Microsoft Azure platform.
    • Deep understanding of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
    • Proficiency in DBT (Data Build Tool) for data transformation and modelling.
    • Experience working with any Master Data Management (MDM) tools.
    • Experience with data governance and metadata management tools such as Azure Purview or similar.
    • Proficiency in programming languages such as Python, Scala, or Java.
    • Experience with big data technologies such as Hadoop, Spark, and Kafka.
    • Strong leadership skills with the ability to lead and mentor a team of engineers.

    Preferred:

    Certifications in areas such as Azure Data Engineer, Azure Solutions Architect.


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