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    Engineer – Data Engineering - Hyderabad, India - Infosys

    Infosys
    Default job background
    Technology / Internet
    Description

    Engineer – Data Engineering (Immediate Joiners only)

    What you will be responsible for:

    The design and development of data solutions for one of the world's largest corporations involved in the marketing and distribution of food products.

    Implement distributed and highly available data processing applications that scale for enterprise demands.

    Adhere to Continuous Integration and Continuous Delivery of solutions.

    Ensure high code quality by following software engineering best practices.

    Work collaboratively in a cross functional team in an Agile delivery environment.

    Adhere to DevOps principles and be involved in projects throughout their full software lifecycle: from development, QA, and deployment, to post-production support.

    What you need to have to apply for this position:

    A Bachelor's degree in Computer Science or equivalent – would be an added advantage if the degree specializes in Data Engineering.

    1+ years of industrial experience in developing enterprise grade data processing applications.

    A strong programming background in data ops (Python, Shell, SQL).

    Experience in processing large volumes of data.

    Hands on experience in working with relational/NoSQL databases and distributed storage engines (HDFS, S3, Redshift)

    Hands on experience in ETL design and development using ETL tools (Preferably Informatica and cloud tools such as AWS Data Pipelines, Glue, Lambda, EMR, Spark, Hive).

    Experience in working with streaming data (using tools such as Kafka, Storm, Spark) will be an added advantage

    Experience in API development and user interfaces and related tools (NodeJS, AngularJS, HTML) will be an added advantage

    Working in a Scrum Agile delivery environment and DevOps practices.

    Experience in code management and CICD tools such as Github, Gitlab, Jenkins.

    Experience in an agile environment and aligning Pod members on technical vision and path to implementation.

    A strong desire to continue to grow your skillset.

    Strong communication skills that is influential and convincing.


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