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  • Posted: Oct 30, 2020
    Deadline: Not specified
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    LTI (NSE: LTI) is a global technology consulting and digital solutions Company helping more than 300 clients succeed in a converging world. With operations in 30 countries, we go the extra mile for our clients and accelerate their digital transformation with LTIs MosaicTM platform enabling their mobile, social, analytics, IoT and cloud journeys.


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    AWS Data Engineer

    AWS Data Engineer 

    • Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue, Snowflake.
    • Analyze, re-architect and re-platform on-premise data warehouses to data platforms on AWS cloud using AWS or 3rd party services.
    • Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
    • Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.
    • Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.
    • Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.
    • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
    • Creation and support of real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR and Athena
    • Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency
    • Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.
    • Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning
    • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

    Method of Application

    Interested and qualified? Go to LTI - Larsen & Toubro Infotech on www.linkedin.com to apply

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