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    Data Engineer - Mumbai, India - Careernet Technologies Pvt Ltd

    Careernet Technologies Pvt Ltd
    Careernet Technologies Pvt Ltd Mumbai, India

    2 weeks ago

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    Description

    Purpose :


    As a Data Engineer, your role is to own the data pipeline and the data governance of our Data Strategy.

    Our Data Strategy underpins our suite of Client-facing Applications, Data Science activities, Operational Tools and Business Analytics.


    Responsibilities :

    • Architect and build scalable, resilient and costeffective software to support complex data pipelines.
    • The architecture has two facets : Storage and Compute.


    The Data Engineer is responsible for designing and maintaining the different tiers of the data storage, including (but not limited to) archival, long-term persistent storage, transactional and reporting storage.


    • The Data Engineer is responsible for designing, implementing and maintaining various data pipelines such as selfservice ingestion tools, exports to applicationspecific warehouses and indexing activities.
    • The Data Engineer is responsible for data modeling, as well as designing, implementing and maintaining various data catalogs, to support data transformation and product requirements.
    • Collaborate with Data Science to understand, translate, and integrate methodologies into engineering build pipelines.
    • Partner with product owners to translate complex business requirements into technical solutions, imparting design and architecture guidance.
    • Provide expert mentorship to project teams on technology strategy, cultivating advanced skill sets in software engineering and modern SDLC.
    • Stay informed about the latest technologies and methodologies by participating in industry forums, having an active peer network, and engaging actively with customers.
    • Cultivate a team environment focused on continuous learning, where innovative technologies are developed and refined through teamwork.

    Qualifications :

    • A degree in Computer Science or related technical field.
    • Strong Computer Science fundamentals
    • 3+ years of professional Database Development, with languages such as ANSI SQL, TSQL, PL/pgSQL, PLSQL, plus database design, normalization, server tuning, and query plan optimization
    • 3+ years Software Engineering experience with programming languages such as Java, Scala, Python and Unix Shell
    • 3+ years of professional DBA experience with large datastores including HA and DR planning and support.
    • Understanding of File Systems
    • Demonstrated understanding and experience with big data tools such as Kafka, Spark and Trino/Presto
    • Experience configuring database replication (physical and/or logical)
    • ETL experience (3rd party and proprietary)
    • Experience with orchestration tools such as Airflow
    • Comfortable with version control systems such as git
    • A thirst for learning new Tech and keeping up with industry advances.
    • Excellent communication and knowledgesharing skills.
    • Comfortable working with technical and nontechnical teams.
    • Strong debugging skills.
    • Comfortable providing and receiving code review feedback.
    • A positive attitude, adaptability, enthusiasm, and a growth mindset.

    Nice to have :

    • A personal technical blog
    • A personal (Git) repository of side projects
    • Participation in an opensource community

    Preferred skills :

    • Comfortable using Docker and Kubernetes for container management.
    • DevOps experience deploying and tuning the applications you've built.
    • Monitoring tools such as Datadog, Prometheus, Grafana, Cloudwatch.
    )
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